Free academic research software

• Webometric Analyst for altmetrics, web citation analysis, text mention analysis and Mendeley, webometric, Google Books and Altmetric.com data gathering.
• SentiStrength for sentiment analysis in social web text - analyses 16,000 social web texts per second in 14 languages - with human-level accuracy in most English social web texts. Also used for light displays: Barge 1, Barge 2, Inside Barge, LondonEye lightshow.
• TensiStrength for stress and relaxation detection in social media texts.
• PeerJudge for praise and criticism detection in academic reviews of journal articles and conference papers.
• Mozdeh for big data word association analysis of social media and other texts, supporing: Tweet and YouTube comment time series, gender, word frequency and sentiment analysis. Also for time series analyses of academic publications.
• SocSciBot for web crawling and hyperlink analysis.
• R code for altmetrics simulations.

Free open access data

• Hundreds of free data sets and programs (R code) on FigShare. Most of my papers from the last five years have their data and/or software deposited in FigShare, as far as permitted.

Talks and talk topics

• Social media analysis: Word association thematic analysis for social media and other text exploration; Bullying support on YouTube,Tweeting by people with ADHD; Using the Academic Research data track for Twitter; Retweeting COVID-19: Disability issues; Gathering and analysing social media data with Mozdeh; Analysing YouTube with Mozdeh; Dance, books, YouTube and Twitter: Data mining culture from the social web.
• Sentiment analysis: Sentiment analysis with SentiStrength; Sentiment and stress analysis with SentiStrength and TensiStrength, Detecting new sentiment words in the social web.
• Altmetrics: Introduction to altmetrics, Altmetrics for books [see also a full online course on altmetrics].
• Scientometrics: Research method choice, citation impact and gender in academic publishing; Dimensions.ai: A competitor to Scopus and the Web of Science?
• General academic research: Publishing in social science journals, Responsible research assessment: The role of bibliometrics.

Artificial intelligence to detect journal article research quality

Results, talks, and additional papers from a project on AI for research assessment for UK Research and Innovation.

COVID-19 papers, including preprints

• Kousha, K., & Thelwall, M. (2022). Covid-19 refereeing duration and impact in major medical journals. Quantitative Science Studies, 3(1), 1-17.[Refereeing for Covid-related journal articles was quicker, but apparently without compromising quality.]
• Thelwall, M. & Thelwall, S. (2021). How has Covid-19 affected published academic research? A content analysis of journal articles mentioning the virus. Journal of Data and Information Science, 6(4), 1–12. [Two thirds of academic articles mentioning Covid-19 were related biomedicine or health services; most others covered the pandemic economy, society, safety, or education. Covid-19 had changed the value of other reported research or its context.]
• Thelwall, M. (2021). Cures, treatments and vaccines for Covid-19: International differences in interest on Twitter. Journal of Altmetrics, 4(1), 4. https://doi.org/10.29024/joa.42 [Interest in vaccines was low in the early stages of the pandemic on English-language Twitter, rising sharply and linearly after the Pfizer-BioNTech phase 3 trials results.]
• Thelwall, M. (2021). Can Twitter give insights into international differences in covid-19 vaccination? Eight countries’ English tweets to 21 March 2021. Profesional de la Información. 30(3), e300311. [There are international differences in the roles of unofficial expert Covid-19 commenters on Twitter; Only India has a prominent vaccine kindness concept: #VaccineMaitri.]
• Thelwall, M., Kousha, K. & Thelwall, S. (2021). Covid-19 vaccine hesitancy on English-language Twitter. El Profesional de la Información. 30(2), e300212. https://doi.org/10.3145/epi.2021.mar.12 [Vaccine hesitation was mainly expressed by people with right-wing tweeting themes, although it was also expressed by some non-political tweeters, reaching other topics on Twitter.]
• Thelwall, M. & Thelwall, S. (2020). A thematic analysis of highly retweeted early COVID-19 tweets: Consensus, information, dissent, and lockdown life. Aslib Journal of Information Management, 72(6), 945-962. https://doi.org/10.1108/AJIM-05-2020-0134 [Key findings: Twitter users helped build support for social distancing, criticised government responses, supported key workers, and helped each other to cope with social isolation. Popular tweets not supporting social distancing show that government messages were not universally successful.]
• Thelwall, M. & Thelwall, S. (2020). Covid-19 tweeting in English: Gender differences. El Profesional de la Información, 29(3), e290301. [Key findings: a) Women seem to be taking a disproportionate share of the responsibility for directly keeping the population safe, and therefore it is particularly important that to convey safety messages to females. b) Failure to impose a sporting bans whilst encouraging social distancing may send mixed messages to males.]
• Thelwall, M. & Levitt, J. M. (2020). Retweeting COVID-19 disability issues: Risks, support and outrage. El Profesional de la Información, 29(2), e290216. [Twitter disseminates health information and voices opposition to second class treatment for people with disabilities.]
• Kousha, K. & Thelwall, M. (2020). COVID-19 publications: Database coverage, citations, readers, tweets, news, Facebook walls, Reddit posts, Quantitative Science Studies, 1(3), 1068-1091. [Covid publishing and citing is increasing rapidly; Tweeter counts are effective on the day of publication at indicating likely important articles - Mendeley reader counts are better after three weeks.]
• Thelwall, M. (2020). Coronavirus research before 2020 is more relevant than ever, especially when interpreted for COVID-19. Quantitative Science Studies. [Research about human coronaviruses attracted new citations more rapidly during COVID-19 than before, but articles translating it for COVID-19 in early 2020 were even more rapidly cited.]
• Thelwall, M. & Thelwall, S. (2020). Racism discussions on Twitter after George Floyd during Covid-19: A space to address systematic and institutionalized racism? Social Science Research Network. [The killing of George Floyd seems to have opened a large-scale social media space for public generalizations about systematic and institutionalized racism.]

Main current books:

Thelwall, M. (2021). Word association thematic analysis: A social media text exploration strategy. San Rafael, CA: Morgan & Claypool. [A method to analyse text for themes. It is designed for social media or other short form texts. The supporting software Mozdeh can gather and analyse YouTube comments and tweets (including from the Academic Research Twitter track). Video summary.]

Thelwall, M. (2017). Web indicators for research evaluation: A practical guide. San Rafael, CA: Morgan & Claypool. [An overview of all the steps needed from data collection to analysis and interpretation for web indicators, including practical advice.]

Refereed journal articles - contact m dot thelwall at wlv.ac.uk for copies. See also publication list by topic, Google Scholar list, and FigShare data.

• Thelwall, M. & Pinfield, S. (2024). The accuracy of field classifications for journals in Scopus. Scientometrics.[There are large field differences in the extent to which cross-field and specialist journals publish articles that match their Scopus narrow fields.] -> scientometrics
• Thelwall, M. & Kousha, K. (in press). Technology assisted research assessment: Algorithmic bias and transparency issues. Aslib Journal of Information Management. https://doi.org/10.1108/AJIM-04-2023-0119 [A literature review.] -> scientometrics
• Thelwall, M., Simrick, S., Viney, I. & Van den Besselaar, P. (in press). What is research funding, how does it influence research, and how is it recorded? Key dimensions of variation. Scientometrics. https://doi.org/10.1007/s11192-023-04836-w [A discussion of research funding dimensions.] -> scientometrics
• Kousha, K. & Thelwall, M. (2024). Artificial intelligence to support publishing and peer review: A summary and review. Learned Publishing. https://doi.org/10.1002/leap.1570 [AI can support publishing and peer review but can't make publishing judgements.] -> peer review
• Thelwall, M. & Holyst, J. (in press). Can journal reviewers dependably assess rigour, significance, and originality in theoretical papers? Evidence from physics. Research Evaluation. https://doi.org/10.1093/reseval/rvad018 [There is only moderate agreement between reviewers on the core aspects of scientific quality, including rigour, in a nearly ideal case. This is concerning for the security of the wider academic record.] -> peer review
• Kousha, K. & Thelwall, M. (in press). Factors associating with or predicting more cited or higher quality journal articles. Annual Review of Information Science and Technology. https://doi.org/10.1002/asi.24810 [A review of article and other properties that associate with or predict higher quality or more cited journal articles.] -> scientometrics
• Thelwall, M., Kousha, K., Stuart, E., Makita, M., Abdoli, M., Wilson, P. & Levitt, J. (2023). Do bibliometrics introduce gender, institutional or interdisciplinary biases into research evaluations? Research Policy, 52(8), 104829. https://doi.org/10.1016/j.respol.2023.104829 [The main bias found is against departments publishing higher quality research; there was also a minor male-favouring gender bias for bibliometrics compared to peer review.] -> scientometrics
• Thelwall, M., Kousha, K., Makita, M., Abdoli, M., Stuart, E., Wilson, P. & Levitt, J. (2023). In which fields do higher impact journals publish higher quality articles? Scientometrics, 128, 3915-3933. https://doi.org/10.1007/s11192-023-04735-0 [publisher view-only preprint] [Shows the extent to which journal impact associates with article research quality varies between fields and that high impact journals never only publish high quality articles.] PubPeer comments on the article with important additional caveats about the results. -> scientometrics
• Thelwall, M., Kousha, K., Stuart, E., Makita, M., Abdoli, M., Wilson, P. & Levitt, J. (2023). In which fields are citations indicators of research quality? Journal of the Association for Information Science and Technology? , 74(8), 941-953. [Identifies fields in which citation counts data can reasonably be used for research quality indicators but shows that there is no field with a citation threshold for that guarantees that a paper is the highest quality.] -> scientometrics
• Thelwall, M., Kousha, K., Wilson, P. Makita, M., Abdoli, M., Stuart, E., Levitt, J., Knoth, P., & Cancellieri, M. (in press). Predicting article quality scores with machine learning: The UK Research Excellence Framework. Quantitative Science Studies.https://doi.org/10.1162/qss_a_00258 [Introduces and assesses machine learning methods to assess the quality of academic research from metadata.] -> scientometrics
• Thelwall, M., Kousha, K., Abdoli, M., Stuart, E., Makita, M., Font-Julián, C. I., Wilson, P. & Levitt, J. (in press). Is research funding always beneficial? A cross-disciplinary analysis of UK research 2014-20. Quantitative Science Studies, 4(2), 501–534. https://doi.org/10.1162/qss_a_00254 [Funded research is likely to be higher quality overall, for all the largest research funders, and statistically significantly for 30 out of 34 REF Units of Assessment (disciplines or sets of disciplines).] -> scientometrics
• Thelwall, M., Kousha, K., Stuart, E., Makita, M., Abdoli, M., Wilson, P. & Levitt, J. (2023). Does the perceived quality of interdisciplinary research vary between fields? Journal of Documentation, 79(6), 1514-1531. https://doi.org/10.1108/JD-01-2023-0012 [preprint] [There are some systematic differences between fields in the average scores given to interdisciplinary research.] -> scientometrics
• Thelwall, M., Kousha, K., Abdoli, M., Stuart, E., Makita, M., Wilson, P. & Levitt, J. (2023). Why are co-authored academic articles more cited: Higher quality or larger audience? Journal of the Association for Information Science and Technology, 74(7),  791-810. https://doi.org/10.1002/asi.24755 Thelwall, M., Kousha, K., Abdoli, M., Stuart, E., Makita, M., Wilson, P. & Levitt, J. (in press). Why are co-authored academic articles more cited: Higher quality or larger audience? Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24755 [There are moderately strong positive associations (0.2–0.4) between author numbers and quality scores in the health, life, and physical sciences, but weak or no positive associations in engineering and social sciences, with weak negative/positive or no associations in various arts and humanities. Audience effects or other non-quality factors account for the higher citation rates of coauthored articles in some fields.] -> collaboration
• Thelwall, M., Kousha, K., Abdoli, M., Stuart, E., Makita, M., Wilson, P. & Levitt, J. (2023). Do altmetric scores reflect article quality? Evidence from the UK Research Excellence Framework 2021. Journal of the Association for Information Science and Technology, 74(5), 582-593. https://doi.org/10.1002/asi.24751 [Compares altmetric scores with expert judgments of the quality of journal articles in all fields of science, mostly finding positive correlations.] -> altmetrics
• Thelwall, M. (2023). Are successful co-authors more important than first authors for publishing academic journal articles? Scientometrics, 128(4), 2211-2232. https://doi.org/10.1007/s11192-023-04663-z [High impact first authors or team members associate with higher impact journal publishing, but more productive first authors and teams have weaker associations, with low publishing first authors being a slight advantage in some physical and life sciences.] -> collaboration
• Devenport, T., Biscomb, K., Leflay, K., Richardson-Walsh H, Richardson-Walsh K, & Thelwall, M. (2023). ‘Nobody needs a label’: Responses on Facebook to a Team GB Equity, Diversity and Inclusion Initiative. Sport in Society, 26(6), 1113-1132.  https://doi.org/10.1080/17430437.2022.2115365 [The importance of explaining that supporting one marginalised group does not undermine the rights of others, the ongoing difficulties that many face, and that the current situation is not a level playing field.] -> social web
• Thelwall, M., Kousha, K., Abdoli, M., Stuart, E., Makita, M., Wilson, P. & Levitt, J. (2023). Is big team research fair in national research assessments? The case of the UK Research Excellence Framework 2021. Journal of Data and Information Science, 8(1), 9-20. https://doi.org/10.2478/jdis-2023-0004 [Over-weighting (i.e., full rather than fractional counting) individual contributions to collaboratively authored outputs affected the scores of archeology and physics departments most in the UK REF2021, suggesting that its implications should be seriously considered in these fields.] -> collaboration
• Khan, N., Thelwall, M. & Kousha, K. (2023). Data sharing and reuse practices: Disciplinary differences and improvements needed. Online Information Review. https://doi.org/10.1108/OIR-08-2021-0423 [Includes 23 recommendations to promote data sharing and reuse, including improved data access and usability, formal data citations, new search features and cultural and policy-related disciplinary changes to increase awareness and acceptance.] -> data sharing
• Thelwall, M., Kousha, K., Abdoli, M., Stuart, E., Makita, M., Wilson, P. & Levitt, J. (2023). Terms in journal articles associating with high quality: Can qualitative research be world-leading? Journal of Documentation, 79(5), 1110-1123. https://doi.org/10.1108/JD-12-2022-0261 [Identifies words associaing with higher or lower quality socres in REF2021, suggesting that associated topics and methods may receive higher or lower REF2021 scores.]
• Gulzar, F., Gul, S., Mehraj, M., Bano, S. & Thelwall, M. (2022). Digital footprints of Kashmiri pandit migration on Twitter. Professional de la Informacion, 31(6), https://doi.org/10.3145/epi.2022.nov.07 [Tweets can give insights into reactions to historical events, even those that occurred long before Twitter began.] -> Twitter
• Htoo, T.H.H, Na, J.-C. & Thelwall, M. (2022). Why are medical research articles tweeted? The news value perspective Scientometrics. [Instead of news coverage attracting tweets or journalists noticing highly tweeted articles and writing about them, the results are consistent with newsworthy characteristics of articles attracting both tweets and news mentions.] -> altmetrics
• Thelwall, M.  Devonport, T.J., Makita, M, Russell, K. & Ferguson, L. (2023). Academic LGBTQ+ terminology 1900-2021: Increasing variety, increasing inclusivity? Journal of Homosexuality, 70(11), 2514-2538. https://doi.org/10.1080/00918369.2022.2070446 [The LGBTQ+ related journal articles have almost continually increased in prevalence since 1900. Many different terminologies have emerged with activist, health professional and academic origins, but none currently dominate.] -> gender and sexuality in research
• Thelwall, M., & Maflahi, N. (2022). Research Co-authorship 1900-2020: Continuous, universal, and ongoing expansion. Quantitative Science Studies. [The reasonably steady and universal (across all fields) increases in academic coauthorship over 121 years show no sign of slowing.] -> scientometrics
• Thelwall, M., Stuart, E., Mas-Bleda, A., Makita, M., & Abdoli, M. (2022). I’m nervous about sharing this secret with you: YouTube influencers generate strong parasocial interactions by discussing personal issues. Journal of Data and Information Science, 7(2). https://doi.org/10.2478/jdis-2022-0011 [Introduces the first automatic method to identify any type of parasocial interaction and identifies factors used by UK female influencers to generate parasocial interactions.] -> YouTube
• Thelwall, S. & Thelwall, M. (2022). Autism Spectrum Disorder on Twitter during COVID-19: Account types, self-descriptions, and tweeting themes. Data Science and Informetrics, 2(2), 1-12. [ASD in the USA is represented for Covid-19 on Twitter through parents, individuals declaring it (showing some common identity themes), and supporters, without raising concerns particular to the disorder.] -> Twitter
• Thelwall, M. (2022). Can the quality of published academic journal articles be assessed with machine learning? Quantitative Science Studies, 3(1), 208-226. [Assesses AI prediction strategies using journal thirds as a proxy for article quality. Prediction of article quality with high accuracy may be possible for a subset of articles in some fields; Text inputs are likely to reveal journal topics and styles, so it is impossible to avoid indirectly harnessing publication venue.] -> scientometrics
• Thelwall, M. (in press). Journal and disciplinary variations in academic open peer review anonymity, outcomes, and length. Journal of Librarianship & Information Science. [For one publisher, there are disciplinary differences in the length, format and strictness of pre-publication reviews. Signed reviews tend to be longer than anonymous reviews but give similar decisions.] -> peer review
• Thelwall, M. & Sud, P. (2022). Scopus 1900-2020: Growth in articles, abstracts, countries, fields, and journals. Quantitative Science Studies, 3(1), 37-50. [Maps the growth of Scopus, including its abstracts, 1900-2020.] -> scientometrics
• Kousha, K., & Thelwall, M. (2022). Covid-19 refereeing duration and impact in major medical journals. Quantitative Science Studies, 3(1), 1-17. [Refereeing for Covid-related journal articles was quicker, but apparently without compromising quality.] -> scientometrics
• Font-Julian, C., Ontalba-Ruipérez, J.-A., Orduña-Malea, E. & Thelwall, M. (in press). Which types of online resource support US patent claims? Journal of Informetrics. [URLs can play a broad range of different roles to support patent claims.] -> link analysis
• Thelwall, M. Abdullah, A, & Fairclough, R. (2022). Researching women and men 1996-2020: Is androcentrism still dominant? Quantitative Science Studies, 3(1), 244-264. [The proportion of research about women has steadily increased in recent decades, with more research now about women than about men.] -> gender in research
• Hallinan, B., Kim, B. Mizoroki, S., Scharlach, R., Trillò, T., Thelwall, M., Segev, E. & Shifman, L. (2021). The value(s) of social media rituals: a cross-cultural analysis of New Year’s resolutions. Information, Communication & Society. [Ritual crosses cultures but with language-specific dynamics that do not easily map onto ‘Eastern’ and ‘Western’ value orientations.] -> Twitter
• O'Leary, L., Erikainen, S., Peltonen, L., Ahmed, W., Thelwall, M., & O'Connor, S. (in press). Exploring nurses’ online perspectives and social networks during a global pandemic COVID-19. Public Health Nursing. [In addition to spreading knowledge, nurses tried to reach out through social media to political and healthcare leaders to advocate for improvements needed to address COVID-19.] -> Twitter
• Mas-Bleda, A., Makita, M., Mrva-Montoya, A., & Thelwall, M. (in press). What makes a book tweet popular? Analysis of the most retweeted content posted by Spanish and non-Spanish book publishers. REDC. Revista Espanola de Documentacion Cientifica. [Publishers seeking to engage with potential readers on Twitter could consider quotes and giveaways to build their audience, in addition to tagging author @usernames in book related posts to help reach author networks.] -> Twitter
• Khan, N., Thelwall, M., & Kousha, K. (2021). Are data repositories fettered? A survey of current practices, challenges, and future technologies. Online Information Review. https://doi.org/10.1108/OIR-04-2021-0204 [Identifies the current challenges and needs for improving data repository functionalities and user experiences.] -> scientometrics
• Fairclough, R. & Thelwall, M. (in press). Questionnaires mentioned in academic research 1996-2019: Rapid increase but declining citation impact. Learned Publishing. [Questionnaires seem to be increasingly used in academic research, but may be losing their citation advantage.] -> scientometrics
• Li, X., Mohammadi, E., & Thelwall, M. (2021). How are encyclopedias cited in academic research? Wikipedia, Britannica, Baidu Baike, and Scholarpedia. Profesional de la Información. [Encyclopedias have minor value for academic research, often for background and definitions, with the most suitable one varying between fields and countries; the popularity of crowdsourced encyclopedias may be waning.] -> scientometrics
• Thelwall, M. & Thelwall, S. (2021). How has Covid-19 affected published academic research? A content analysis of journal articles mentioning the virus. Journal of Data and Information Science, 6(4), 1–12. https://doi.org/10.2478/jdis-2021-0030 [Two thirds of academic articles mentioning Covid-19 were related biomedicine or health services; most others covered the pandemic economy, society, safety, or education. Covid-19 had changed the value of other reported research or its context.] -> scientometrics
• Thelwall, M. (2021). Alternative medicines worth researching? Citation analyses of acupuncture, chiropractic, homeopathy, and osteopathy 1996-2017. Scientometrics, 126(10), 8731-8747. [local copy] https://doi.org/10.1007/s11192-021-04145-0 [A descriptive citation anlaysis of acupuncture, chiropractic, homeopathy, and osteopathy journal articles indexed in Scopus 1996–2020.] -> scientometrics
• Kousha, K., Thelwall, M. & Abdoli, M. (2021). Which types of online evidence show the non-academic benefits of research? Websites cited in UK impact case studies. Quantitative Science Studies, 2(3), 864-881. [Summarises the types of websites used to evidence the non-academic impacts of UK research.] -> altmetrics
• Thelwall, M. & Foster, D. (2021). Male or female gender-polarised YouTube videos are less viewed. Journal of the Association for Information Science and Technology, 72(12), 1545-1557. https://doi.org/10.1002/asi.24529 [YouTube videos primarily attracting a single gender (male or female) tend to be less popular than videos attracting both males and females. This means that targetting content at a single gender is not overall the best strategy, although it might be for some content.] -> YouTube
• Thelwall, M. (2021). Can Twitter give insights into international differences in covid-19 vaccination? Eight countries’ English tweets to 21 March 2021. Profesional de la Información. 30(3), e300311. [There are internternational differences in the roles of unofficial expert Covid-19 commenters on Twitter; Only India has a prominent vaccine kindness concept: #VaccineMaitri.] -> Twitter
• Thelwall, M. (2021). Lifestyle information from YouTube influencers: Some consumption patterns. Journal of Documentation, 77(6), 1209-1222. https://doi.org/10.1108/JD-02-2021-0033 [YouTube UK female lifestyle influencer videos seem to be rarely binge watched, with viewers probably watching multiple influencers rather than being loyal to one.] -> YouTube
• Maflahi, N. & Thelwall, M. (2021). Domestic researchers with longer careers generate higher average citation impact but it does not increase over time. Quantitative Science Studies, 2(2), 560-587. [Citation impact seems to decrease at the end of careers, although longer-term researchers tend to have higher citation impact overall.] -> scientometrics
• Thelwall, M. & Nevill, T. (in press). Is research with qualitative data more prevalent and impactful now? Interviews, case studies, focus groups and ethnographies. [publisher version] Library & Information Science Research. https://doi.org/10.1016/j.lisr.2021.101094 [Qualitative data is increasingly used in academic research.] -> scientometrics
• Thelwall, M., Kousha, K. & Thelwall, S. (2021). Covid-19 vaccine hesitancy on English-language Twitter. El Profesional de la Información. 30(2), e300212. https://doi.org/10.3145/epi.2021.mar.12 [Vaccine hesitation was mainly expressed by people with right-wing tweeting themes, although it was also expressed by some non-political tweeters, reaching other topics on Twitter.] -> Twitter
• Thelwall, M., Thelwall, S. & Fairclough, R. (2021). Male, female, and nonbinary differences in UK Twitter self-descriptions: A fine-grained systematic exploration. Journal of Data and Information Science, 6(2), 1-27. https://doi.org/10.2478/jdis-2021-0018 [There are differences in Twitter bio descriptions between female, nonbinary and male users, partly reflecting offline variations in interests and in jobs.] -> Twitter
• Khan, N., Thelwall, M., & Kousha, K. (in press). Measuring the impact of biodiversity datasets: Data reuse, citations and altmetrics. Scientometrics. [Standard data citation practices are usually not followed when Global Biodiversity Information Facility (GBIF) datasets are reused.]-> scientometrics
• Thelwall, M., Makita, M., Mas-Bleda, A., & Stuart, E. (2021). “My ADHD hellbrain”: A Twitter data science perspective on a behavioural disorder. Journal of Data and Information Science, 6(1). [People apparently tweeting about their ADHD are more likely to mention several themes including their brain as an indepedent entity. Video summary.] -> Twitter
• Torres-Salinas, D., Arroyo-Machado, W. & Thelwall, M. (2021). Exploring WorldCat Identities as an altmetric information source: A library catalog analysis experiment in the field of Scientometrics. Scientometrics, https://doi.org/10.1007/s11192-020-03814-w [WorldCat Identities can be a useful tool for researcher-level book impact assessment but it is undermined by massive ebooks library deals.] -> altmetrics
• Thelwall, M. & Cash, S. (2021). Bullying discussions in UK female influencers’ YouTube comments. British Journal of Guidance and Counselling, 49(3), 480-493. [publisher version] [UK female YouTube influencers provide a supportive environment for discussions of bullying and should be considered as a support resource.] -> YouTube
• Thelwall, M. & Thelwall, S. (2020). A thematic analysis of highly retweeted early COVID-19 tweets: Consensus, information, dissent, and lockdown life. Aslib Journal of Information Management, 72(6), 945-962. https://doi.org/10.1108/AJIM-05-2020-0134 [Key findings: Twitter users helped build support for social distancing, criticised government responses, supported key workers, and helped each other to cope with social isolation. Popular tweets not supporting social distancing show that government messages were not universally successful.] -> Twitter
• Chołoniewski, J., Sienkiewicz, J., Dretnik, N., Lebanc, G., Thelwall, M. & Hołyst, J.A. (2020). A calibrated measure to compare fluctuations of different entities across timescales. Scientific Reports, 10, 20673. [A method for statistical analyses of fluctuations/variations at multiple timescales at the same time.]
• Thelwall, M. (2020). Coronavirus research before 2020 is more relevant than ever, especially when interpreted for COVID-19. Quantitative Science Studies. [Research about human coronaviruses attracted new citations more rapidly during COVID-19 than before, but articles translating it for COVID-19 in early 2020 were even more rapidly cited.] -> altmetrics
• Thelwall, M. & Sud, P. (2021). Do new research issues attract more citations? A comparison between 25 Scopus subject categories. Journal of the Association for Information Science and Technology, 72(3), 269-279. [Academic fields evolve through topics, style, national focus and language; New topics are more cited in some fields but less cited in others.] -> scientometrics
• Thelwall, M. (2020). Pot, kettle: Nonliteral titles aren't (natural) science. Quantitative Science Studies. [Humourous or other non-literal titles are relatively rare in the natural sciences compared to other areas of academia and so should be used cautiously in fields where they may be unexpected. "to be or not to be" is in almost 500 journal article titles.] THE article about this paper. -> academic writing and research design
• Thelwall, M., Allen, L. Papas, E., Nyakoojo, Z., & Weigert, V. (2021). Does the use of open, non-anonymous peer review in scholarly publishing introduce bias? Evidence from the F1000Research post-publication open peer review publishing model. Journal of Information Science, 47(6), 809-820. https://doi.org/10.1177/0165551520938678 [Weak evidence that being based in the same country as an author may influence a reviewer’s decision when their identity and review are public, but being able to read an existing published review prior to submitting a new review does not seem to encourage conformity.] -> peer review
• Thelwall, M. (2020). Measuring societal impacts of research with altmetrics? Common problems and mistakes. Journal of Economic Surveys. [Identifies problems to avoid with altmetrics studies.] -> altmetrics
• Thelwall, M. & Fairclough, R. (2020). All downhill from the PhD? The typical impact trajectory of US academic careers. Quantitative Science Studies, 1(3), 1334-1348. [Experienced researchers do not seem to improve their citation impact: For researchers starting and finishing their publication careers in the USA, the average citation impact of their publications decreases towards the end of their careers, on average.] -> scientometrics
• Kousha, K. & Thelwall, M. (2020). COVID-19 publications: Database coverage, citations, readers, tweets, news, Facebook walls, Reddit posts. Quantitative Science Studies. [Covid publishing and citing is increasing rapidly; Tweeter counts are effective on the day of publication at indicating likely important articles - Mendeley reader counts are better after three weeks.] -> altmetrics
• Thelwall, M. & Mas-Bleda, A. (2020). A gender equality paradox in academic publishing: Countries with a higher proportion of female first-authored journal articles have larger first author gender disparities between fields. Quantitative Science Studies, 1(3), 1260-1282. [Differences between fields in the proportion of female first authors are greater in countries with more female first authors, suggesting that increased overall gender equality does not lessen gender disparities in all fields, and may even strengthen gender disparities in some fields, such as maths. A possible cause is increased pressure for gender conformity in life choices in more gender-equal societies. This suggests that systemic interventions may be necessary to overcome female minorities in some STEM fields.] -> gender in research
• Thelwall, M., Papas, E., Nyakoojo, Z., Allen, L. & Weigert, V. (2020). Automatically detecting open academic review praise and criticism. Online Information Review, 44(5), 1057-1076. [Introduces and validates a transparent program, PeerJudge to detect praise and cricism in open academic peer review reports.] PeerJudge website. -> peer review
• Thelwall, M. & Sud, P. (2020). Greater female first author citation advantages do not associate with reduced or reducing gender disparities in academia, Quantitative Science Studies, 1(3), 1283-1297. [A weak tendency in the USA and New Zealand for female citation advantages to be stronger in fields with fewer women, but no other association evidence. No evidence of female citation advantages or disadvantages to be a cause or effect of changes in the proportions of women in a field for any country. Inappropriate uses of career-level citations are a likelier source of gender inequities.] -> gender in research
• Thelwall, M. (2020). Mid-career field switches reduce gender disparities in academic publishing. Scientometrics, 123(3), 1365-1383. [When academics switch the field that they publish in during their career, the net effect reduces gender disparities: Relative to men, women are more likely to switch to fields with a higher proportion of men.] -> gender in research
• Thelwall, M. & Thelwall, S. (2020). Covid-19 tweeting in English: Gender differences. El Profesional de la Información, 29(3), e290301. [Key findings: a) Women seem to be taking a disproportionate share of the responsibility for directly keeping the population safe, and therefore it is particularly important that to convey safety messages to females. b) Failure to impose a sporting bans whilst encouraging social distancing may send mixed messages to males.] -> Twitter
• Thelwall, M. & Levitt, J. M. (2020). Retweeting COVID-19 disability issues: Risks, support and outrage. El Profesional de la Información, 29(2), e290216. [Twitter disseminates health information and voices opposition to second class treatment for people with disabilities.] -> Twitter
• Kousha, K., Thelwall, M. (2020). Google Books, Scopus, Microsoft Academic and Mendeley for impact assessment of doctoral dissertations: A multidisciplinary analysis of the UK. Quantitative Science Studies, 1(2), 479–504, Advance Publication. https://10.1162/qss_a_00042 [Systematic methods introduced to extract citations to dissertations for Google Books, Scopus, Microsoft Academic, and Mendeley; Disciplinary differences in the citing rate of dissertations and the best source for dissertation citations.] -> altmetrics
• Thelwall, M. (in press). Data in Brief: Can a mega-journal for data be useful? Scientometrics. [Data in Brief papers usually attract attention but only about 1% lead to data reuse.] -> data sharing
• Thelwall, M. & Mas-Bleda, A. (2020). How common are explicit research questions in journal articles? Quantitative Science Studies, 1(2), 730–748. [Research questions are almost never explicitly mentioned (under 2%) by articles in engineering, physical, life and medical sciences, and occurred in less than 20% of articles in all broad fields.] -> academic writing and research design
• Thelwall, M. (2020). Gender differences in citation impact for 27 fields and 6 English speaking countries 1996-2014. Quantitative Science Studies, 1(2), 599–617. [There is an overall female first author citation advantage first-authored research for 27 broad fields and 6 large English-speaking countries (Australia, Canada, Ireland, New Zealand, UK and USA) 1996-2014, but reversed in most broad fields in all countries for some years.] -> gender in research
• Thelwall, M. Munafò, M., Mas-Bleda, A., Stuart, E., Makita, M., Weigert, V., Khan, N., Drax, K. & Kousha, K. (2020). Is useful research data usually shared? An investigation of genome-wide association study summary statistics. Plos One. [Even in an area where data sharing is mandated by funders and specialised repositories exist, a key data type is rarely shared, and sharing statements are rarely explicit enough to detect it.] -> data sharing
• Mohammadi, E., Gregory, K., Thelwall, M., Barahmand, N. (2020). Which health and biomedical topics generate the most Facebook interest and the strongest citation relationships? Information Processing and Management, 57(3). [Publisher version][Identifies biomedical areas attracting more Facebook interest and with stronger relationships between Facebook and citation counts.] -> altmetrics
• Mohammadi, E., Barahmand, N., & Thelwall, M. (2019). Who shares health and medical scholarly articles on Facebook? Learned Publishing, 33(1), 111–118. [A small minority of Facebook posting about biomedical research is by academics.] -> altmetrics
• Bourrier, K. & Thelwall, M. (2020).The social lives of books: Reading Victorian literature on Goodreads. CA: Journal of Cultural Analytics. https://doi.org/10.22148/001c.12049 [Identifies themes in the relationship between book readers (on Goodreads), use in teaching and citations for Victorian literature.] doi:10.22148/001c.12049 -> social web
• Thelwall, M. (2020). Female citation impact superiority 1996-2018 in six out of seven English-speaking nations. Journal of the Association for Information Science and Technology, 71(8), 979–990. DOI: 10.1002/asi.24316 [Female first-authored research tends to be more cited in Australia, Canada, Ireland, Jamaica, New Zealand, UK but not the USA, although differences in all cases are small.] -> gender in research
• Thelwall, M. & Maflahi, N. (2020). Academic collaboration rates and citation associations vary substantially between countries and fields. Journal of the Association for Information Science and Technology, 71(8), 968–978. Doi:10.1002/asi.24315. [There are field and international differences in whether articles with more authors attract more citations. Solo research from India and China has relatively high citation counts.] -> collaboration
• Thelwall, S. & Thelwall, M. (2020). Anthropomorphizing atopy: Tweeting about eczema. Journal of the Dermatology Nurses' Association, 12(2), 74-77. [People tweeting about their eczema use humour to announce attacks and giving it agency.] -> Twitter
• Thelwall, M. (2020). Mendeley reader counts for US computer science conference papers and journal articles. Quantitative Science Studies, 1(1), 347–359. [Mendeley reader counts have a substantial advantage over citation counts as an impact indicator for recently-published conference papers due to their greater speed.] -> altmetrics
• Makita, M., Mas-Bleda, A., Stuart, E., & Thelwall, M. (2019). Ageing, old age and older adults: a social media analysis of dominant topics and discourses. Ageing & Society, DOI: 10.1017/S0144686X19001016 [Twitter reproduces the ageist language of traditional media.] -> Twitter
• Kousha, K. & Thelwall, M. (2019). An automatic method to identify citations to journals in news stories: A case study of the UK newspapers citing Web of Science journals, Journal of Data and Information Science, 4(3), 73-95. [Introduces a program to process ProQuest news articles and find citations to journals; assesses which journals are cited by the UK press.] -> altmetrics
• Thelwall, M. (2020). Large publishing consortia produce higher citation impact research but co-author contributions are hard to evaluate. Quantitative Science Studies, 1(1), 290–302. [Consortia of many authors publishing multiple articles tend to publish research with substantially above the average citation impact, but author contributions are often difficult to detect.]
• Thelwall, M. (2019). Are classic references cited first? An analysis of citation order within article sections. Scientometrics, 120(2), 723-731. [Initial citations in the Introduction, Background, Discussion and Conclusions may have a general agenda setting nature in many fields because they tend to be more highly cited, but may play little direct role in the new publication.] [view-only publisher version][wire]-> scientometrics
• Thelwall, M. (2019). Should citations be counted separately from each originating section? Journal of Informetrics. 13(3), 658–678. [On a global scale, the standard section containing a citation (e.g., Introduction, Methods, Discussion) is not a reliable indicator of the reason why the article was cited.] [supporting data] [publisher version]-> scientometrics
• Thelwall, M. (2019). The rhetorical structure of science? A multidisciplinary analysis of article headings. Journal of Informetrics. 13(3), 555–563. [publisher version] [There seems to be little common structure to scientific articles: no article headings are close to ubiquitous in any broad field and there are substantial field differences in the extent to which most headings are used.] -> academic writing and research design
• Thelwall, M. & Bourrier, K. (2019). The reading background of Goodreads book club members: A female fiction canon?  Journal of Documentation, 75(5), 1139-1161. doi:10.1108/JD-10-2018-0172 [Female authors dominate the core reading of reading group members in Goodreads.] -> social web
• Kousha, K. & Thelwall, M. (2019). Can Google Scholar and Mendeley help to assess the scholarly impacts of dissertations? Journal of Informetrics, 13(3), 467-484. [publisher version][Google Scholar queries and Mendeley reader count can be used to systematically identify citation data for large numbers of dissertations for research evaluation purposes.] -> altmetrics
• Thelwall, M. (2019). The influence of highly cited papers on field normalised indicators. Scientometrics, 118(2), 519–537. [Individual outliers can influence field normalised indicators enough to influence policy decisions based on them.] -> scientometrics
• Thelwall, M., Bailey, C., Makita, M., Sud, P. & Madalli, D. (2019). Gender and Research Publishing in India: Uniformly high inequality? Journal of Informetrics, 13(1), 118–131. [Female participation rates and gender differences between fields participation rates are lower in India than in the USA, and some fields have radically different gender shares.] [publisher version] [Local copy] [The Wire article] [Hindu Business Online]-> gender in research
• Thelwall, M., Bailey, C., Tobin, C. & Bradshaw, N. (2019). Gender differences in research areas, methods and topics: Can people and thing orientations explain the results? Journal of Informetrics, 13(1), 149-169. [There are substantial gender differences (up to a factor of 100) in the research fields, methods and topics of articles published by US academics in 2017; these cannot be fully explained by the people/thing theory of social psychology. Gender differences in career goals are a possible explanation, with females preferring socially useful careers.] [publisher version] [Local copy]-> gender in research
• Mas Bleda, A. & Thelwall, M. (2018). Assessing the teaching value of non-English academic books: The case of Spain. Revista Española de Documentación Científica, 41(4), e222. [Online syllabus mentions can help to assess the teaching value of Spanish-language books, but manual checks are necessary if assessing individual books.] -> altmetrics
• Thelwall, M. & Stuart, E. (2019). She’s Reddit: A source of statistically significant gendered interest information? Information Processing & Management, 56(4), 1543-1558. [Gender differences in interests can be detected by subreddit choices or subreddit comments.] -> social web
• Thelwall, M. (2018). Do gendered citation advantages influence field participation? Four unusual fields in the USA 1996-2017. Scientometrics,117(3), 2133-2144. https://doi.org/10.1007/s11192-018-2926-0 [Differing rates of citing male and female first-authored research do not associate with long term changes in the gender composition of a field.] -> gender in research
• Thelwall, M. (2018). Does female-authored research have more educational impact than male-authored research? Journal of Altmetrics. 1(1), p.3. [Female first-authored articles attract more student Mendeley readers than male-authored articles in Spain, Turkey, the UK and USA but not India.] [Nature Career brief about this] [THES article] [Nature Index article]-> altmetrics
• Martín-Martín, A., Orduna-Malea, E., Thelwall, M. & Delgado, E. (2018). Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories. Journal of Informetrics, 12(4), 1160-1177. [publisher version] [Google Scholar finds nearly all WoS (95%) and Scopus (92%) citations. The extra citations were from non-journal sources (48%-65%). Many were non-English (19%-38%).] -> scientometrics [blog post about article]
• Mas-Bleda, A. & Thelwall, M. (2018). Do prestigious Spanish scholarly book publishers have more teaching impact? Aslib Journal of Information Management, 70(6), 673-690. DOI: 10.1108/AJIM-04-2018-0094 [Prestigious publishers in Spain tend to publish books with higher teaching impact.] -> scientometrics
• Thelwall, M. (2018). Altmetric prevalence in the social sciences, arts and humanities: Where are the online discussions? Journal of Altmetrics, 1(1), p.4. [There is surprisingly little social web discussion about arts and humanities journal articles.]
• Thelwall, M. (2018). Can museums find male or female audiences online with YouTube? Aslib Journal of Information Management, 70(5), 481-497. [There are huge gender differences in the audiences of museum YouTube channels, including for museums of the same broad type. Museums can target audiences by gender through YouTube.] -> YouTube
• Thelwall, M. (2018). Do females create higher impact research? Scopus citations and Mendeley readers for articles from five countries. Journal of Informetrics, 12(4), 1031-1041. https://doi.org/10.1016/j.joi.2018.08.005 [publisher version] [Nature Index article about this paper] [Female first-authored research tends to have slightly higher average citation impact in Spain, the UK and the USA, and more Mendeley readers in Spain, Turkey, the UK and the USA, but not India. At a technical level, gender comparison results depend on the field normalisation method used, and all previous analyses have arguable allowed highly cited articles to be too influential in calculations.] -> gender in research
• Kousha, K. & Thelwall, M. (2018). Can Microsoft Academic help to assess the citation impact of academic books? Journal of Informetrics, 12(3), 972-984. [Automatic Microsoft Academic queries find more citations to books than the Web of Science Book Citation Index.] -> scientometrics
• Lepori, B., Thelwall, M. & Hoorani, B. H. (2018). Which US and European Higher Education Institutions are visible in ResearchGate and what affects their RG Score? Journal of Informetrics, 12(3), 806-818. [publisher version] [Institutional ResearchGate scores reflect research volume rather than research visibility.] -> altmetrics
• Mohammadi, E., Thelwall, M., Kwasny, M., & Holmes, K. (2018). Academic information on Twitter: A user survey. PLOS ONE, 13(5): e0197265. https://doi.org/10.1371/journal.pone.0197265. [A survey of people that tweet about academic research. A surprisingly high proportion are not academics.] -> altmetrics
• Thelwall, M. (2018). Dimensions: A competitor to Scopus and the Web of Science? Journal of Informetrics, 12(2), 430–435. 10.1016/j.joi.2018.03.006 [free publisher version][The new scholarly database Dimensions has coverage and citation counts that are similar to Scopus but it is free for many purposes.] -> scientometrics
• Thelwall, M. (2018). Early Mendeley readers correlate with later citation counts.. Scientometrics, 115(3), 1231–1240. [publisher full text view only][Mendeley reader counts within a month of publication correlate significantly with citation counts 20 months later in 10 fields, so it is reasonable to use early reader counts as evidence of likely long term citation impact.] [short paper]-> altmetrics
• Thelwall, M. (2018). Can Microsoft Academic be used for citation analysis of preprint archives? The case of the Social Science Research Network. Scientometrics, 115(2), 913-928. doi:10.1007/s11192-018-2704-z [publisher read only version] [Microsoft Academic has quite comprehensive coverage of preprint archives. It can be used for citation analyses of them in conjunction with a list of their publications from another source.] -> scientometrics
• Thelwall, M. (2018). Differences between journals and years in the proportions of students, researchers and faculty registering Mendeley articles. [read-only publisher version] Scientometrics, 115(2), 717-729. doi:10.1007/s11192-018-2689-7 [There are substantial differences between journals in the proportions of different types of reader in Mendeley, so Mendeley reader counts for different journals and fields represent different reader demographics. There are also substantial differences between journals in similar areas for the rate at which Mendeley readers accumulate.] -> altmetrics
• Thelwall, M. & Nevill, T. (2018). Could scientists use Altmetric.com scores to predict longer term citation counts? [publisher][w] [data] Journal of Informetrics, 12(1), 237–248. [Altmetric.com scores can be used to help predict future citation counts, especially if the Mendeley reader component is included. Considering both Altmetric.com scores and journal impact factors gives the best predictions. Altmetric.com scores also seem to partly reflect non-scholarly impact dimensions in some fields.] YouTube talk about this paper. -> altmetrics
• Kousha, K, Thelwall, M. & Abdoli, M. (2018). Can Microsoft Academic assess the early citation impact of in-press articles? A multi-discipline exploratory analysis. Journal of Informetrics, 12(1), 287-298. [w] [Microsoft Academic can find more citations to in press articles than Scopus and seems to be a better source of early impact evidence.] -> scientometrics
• Thelwall, M. & Mas-Bleda, A. (2018). YouTube science channel video presenters and comments: Female friendly or vestiges of sexism? Aslib Journal of Information Management, 70(1), 28-46. doi:10.1108/AJIM-09-2017-0204 [Popular science channel comments tend to be dominated by males and tend not to be negative towards, females although there is a minority of sexist commenting. Presenter gender does not seem to influence audience gender.] [Note that The method used to detect gender gives a small bias in favour of males. After removing this bias, the Tyler DeWitt channel has 3% more female than male commenters, but all the other channels have a majority of male commenters. See also gender detection accuracy calculations]-> social web
• Didegah, F. & Thelwall, M. (2018). Co-saved, co-tweeted and co-cited networks. Journal of the Association for Information Science and Technology, 69(8), 959-973. http://dx.doi.org/10.1002/asi.24028.[There is very little overlap between co-saved, co-tweeted and co-cited networks.]
• Thelwall, M. (2018). Can social news websites pay for content and curation? The SteemIt cryptocurrency model. Journal of Information Science, 44(6), 736–751. [The post reward system in SteemIt seems to encourage network building in the form of personal sentiment-rich introductions rather than content, at least for first posts.] -> social web
• Thelwall, M. (2018). Microsoft Academic automatic document searches: accuracy for journal articles and suitability for citation analysis. [w] Journal of Informetrics, 12(1), 1-9. doi:10.1016/j.joi.2017.11.001 [Automatic Microsoft Academic journal article queries can find articles with a high level of accuracy in all fields and the resulting document set is equivalent to Scopus sets for citation analysis in most fields.] -> scientometrics
• Thelwall, M. (2017). Microsoft Academic: A multidisciplinary comparison of citation counts with Scopus and Mendeley for 29 journals. Journal of Informetrics, 11(4), 1201-1212. doi:10.1016/j.joi.2017.10.006 [wire][Microsoft Academic finds 6% more citations than Scopus (and 51% more for the current year, based on 29 large journals.] -> scientometrics
• Thelwall, M. (2017). Are Mendeley reader counts useful impact indicators in all fields? Scientometrics, 113(3), 1721–1731. doi:10.1007/s11192-017-2557-x [view-only publisher version] [Correlations between Mendeley reader counts and Scopus citation counts are strong in almost all of 325 narrow Scopus fields checked, so Mendeley reader counts are an almost universally strong citation impact indicator.] -> altmetrics
• Thelwall, M., (2018). Does Microsoft Academic find early citations? Scientometrics, 114(1), 325–334. doi:10.1007/s11192-017-2558-9. [view-only publisher version] [Microsoft Academic does not have a substantial early citation advantage over Scopus for Nature, Science and seven library and information science journals.] -> scientometrics
• Thelwall, M. & Fairclough, R. (2017). The research production of nations and departments: A statistical model for the share of publications. Journal of Informetrics, 11(4), 1142-1157. [w] doi:10.1016/j.joi.2017.10.001 [Modelling the share of the world's publications from a country or department to predict future production or estimate underlying research capacity.] -> scientometrics
• Thelwall, M. (2018). Social media analytics for YouTube comments: Potential and limitations. International Journal of Social Research Methodology, 21(3), 303-316. doi:10.1080/13645579.2017.1381821 [author original preprint; local copy, publisher limited time free link] [Introduces a method and software to identify plausible patterns of subtopic difference, gender and sentiment.] -> social web
• Thelwall, M. & Levitt, J.M.  (2018). National scientific performance evolution patterns: retrenchment, successful expansion, or overextension. Journal of the Association for Information Science and Technology, 69(5), 720-727. doi:10.1002/asi.23969 [copy][There is a negative correlation between expansion and relative citation impact but their relationship varies by country.] -> scientometrics
• Thelwall, M. (2019).  Do Mendeley reader counts indicate the value of arts and humanities research?  Journal of Librarianship & Information Science, 51(3), 781-788. [abstract] [Mendeley readership counts reflect Scopus citation counts in the arts and humanities as strongly as in other areas of scholarship.]-> altmetrics
• Thelwall, M. (2018). Gender bias in machine learning for sentiment analysis. Online Information Review, 42(3), 343-354. doi: 10.1108/OIR-05-2017-0152 [Data sets from this paper][Machine learning sentiment analysis over-represents the opinions of females even if they are equally represented in training data.]-> Sentiment analysis
• Thelwall, M. (2018). Gender bias in sentiment analysis. Online Information Review, 42(1), 45-57. doi: 10.1108/OIR-05-2017-0139 [Lexical sentiment analysis over-represents the opinions of females because they express sentiment more clearly.]-> Sentiment analysis
• Thelwall, M. & Vis, F. (2017). Gender and image sharing on Facebook, Twitter, Instagram, Snapchat and WhatsApp in the UK: Hobbying alone or filtering for friends? Aslib Journal of Information Management, 69(6), 702-720. doi:10.1108/AJIM-04-2017-0098 [Gender-related results of a survey of UK social media image sharing.] -> social web
• Thelwall, M. (2017). Confidence intervals for normalised citation counts: Can they delimit underlying research capability? Journal of Informetrics, 11(4), 1069-1079. doi:10.1016/j.joi.2017.09.002 [w][It is reasonable to use confidence intervals to estimate underlying research capability and prediction intervals to estimate future research output, although system changes over time mean that they should be used cautiously.] -> scientometrics
• Thelwall, M. (2017). Are Mendeley reader counts high enough for research evaluations when articles are published? Aslib Journal of Information Management, 69(2), 174-183. doi:10.1108/AJIM-01-2017-0028 [Articles in 10 disciplines attracted 0.1 to 0.8 Mendeley readers per article in the month in which they first appeared in Scopus. This is about ten times more than the average Scopus citation count.] -> altmetrics
• Maflahi, N, & Thelwall, M. (2018). How quickly do publications get read? The evolution of Mendeley reader counts for new articles. Journal of the Association for Information Science and Technology, 69(1), 158–167. doi:10.1002/asi.23909 [Articles may have substantial numbers of readers by their publication date, making reader counts useful for immediate impact assessment. This depends on the length of the journal's publication backlog.] -> altmetrics;
• Thelwall, M., & Kousha, K. (2017). ResearchGate versus Google Scholar: Which finds more early citations? Scientometrics, 112(2), 1125-1131. doi:10.1007/s11192-017-2400-4 [ResearchGate index more early citations than Scopus and the Web of Science but less than Google Scholar.] -> altmetrics; scientometrics
• Thelwall, M. & Fairclough, R. (2017). The accuracy of confidence intervals for field normalised indicators. Journal of Informetrics, 11(2), 530-540. doi:10.1016/j.joi.2017.03.004 [The MNLCS (Mean Normalised Log-transformed Citation Score) confidence interval formula is conservative for large groups but almost always safe. Bootstrap MNCS (Mean Normalised Citation Score) confidence intervals can be very unsafe, although their accuracy increases with sample sizes.] -> scientometrics; [software; additional data and graphs]
• Thelwall, M., Kousha, K. & Abdoli, M. (2017). Is medical research informing professional practice more highly cited? Evidence from AHFS DI Essentials in Drugs.com. Scientometrics, 112(1), 509-527. [Local copy] doi:10.1007/s11192-017-2292-3 [It is possible to systematically harvest citations to academic research from the drug guidelines. Papers in guidelines reference lists tend to be more highly cited than average for the publishing journal.] -> altmetrics; scientometrics
• Kousha, K.& Thelwall, M. (2017). News stories as evidence for research? BBC citations from articles, books and Wikipedia. Journal of the Association for Information Science and Technology, 68(8), 2017-2028. doi:10.1002/jasist.23862 [News stories provide a novel source of information about real world activities that is cited by journal articles, although news stories about research are also widely cited.] -> scientometrics
• Thelwall, M. (2019). Reader and author gender and genre in Goodreads. Journal of Librarianship & Information Science, 51(2), 403-430. [In most Goodreads genres, reviewers give higher ratings to books authored by their own gender. Readers and authors also seem to value gendered aspects of books, even in non-gendered genres.] -> social web
• Thelwall, M. (2017). Three practical field normalised alternative indicator formulae for research evaluation. Journal of Informetrics, 11(1), 128–151. 10.1016/j.joi.2016.12.002 [A robust indicator is introduced for citation counts that allows narrower confidence intervals to be calculated for more powerful analyses. Two new proportion cited indicators are introduced to allow more powerful web indicators when a low proportion of outputs have a non-zero indicator score.] -> altmetrics; scientometrics; [EMNPC worked examples; MNLCS worked examples]
• Orduna-Malea, E., Thelwall, M. & Kousha, K. (2017). Web citations in patents: Evidence of technological impact? Journal of the Association for Information Science and Technology, 68(8), 1967-1974. doi:10.1002/asi.23821 [URL citations in online patents are common enough to be used to help rank major US universities for an aspect of technological impact.] -> altmetrics;
• Thelwall, M. (2017). Avoiding obscure topics and generalising findings produces higher impact research. Scientometrics, 110(1), 307-320. doi:10.1007/s11192-016-2159-z [Research with unusual words in article titles tends to be less cited than average; titles covering multiple concepts and suggesting a purpose may be more cited.] ->academic writing and research design
• Thelwall, M. & Kousha, K. (2017). SlideShare presentations, citations, users and trends: A professional site with academic and educational uses. Journal of the Association for Information Science and Technology, 68(8), 1989-2003. [SlideShare is a presentation-centred site with a predominantly professional user base that is a useful source of non-academic information for scholars and students.] -> altmetrics social web
• Thelwall, M. & Kousha, K. (2017). Do journal data sharing mandates work? Life sciences evidence from Dryad. Aslib Journal of Information Management, 69(1), 36-45.  doi:10.1108/AJIM-09-2016-0159 [All relevant articles share data in some life sciences journals, and the data does seem to be used, but it is not clear what it is used for.] -> data sharing
• Mas-Bleda, A. & Thelwall, M. (2016). Can alternative indicators overcome language biases in citation counts? A comparison of Spanish and UK research. Scientometrics, 109(3), 2007-2030. doi:10.1007/s11192-016-2118-8 [General web and social web indicators increase the apparent bias of indicators against Spanish research in comparison to the UK, probably due to lower social web uptake in Spain.] -> altmetrics
• Thelwall, M. (2016). Does astronomy research become too dated for the public? Wikipedia citations to astronomy and astrophysics journal articles 1996-2014. El Profesional de la Información, 25(6), 893-900. doi:10.3145/epi.2016.nov.06 [Astronomy and astrophysics journal articles from before 2008 tend to be more cited than newer articles, suggesting stabilisation in Wikipedia content.]
• Thelwall, M. & Kousha, K. (2016). Are citations from clinical trials evidence of higher impact research? An analysis of ClinicalTrials.gov. Scientometrics, 109(2), 1341-1351. doi:10.1007/s11192-016-2112-1 [Citations can be gathered from online clinical trials records and used as a health impact indicator.] -> altmetrics
• Kousha, K., Thelwall, M. & Abdoli, M. (2017). Goodreads reviews to assess the wider impacts of books. Journal of the Association for Information Science and Technology, 68(8), 2004-2016. [Most arts, humanities and social sciences scholarly books in Scopus have at least one Goodreads review - counting Goodreads reviews gives a new impact indicator.] -> altmetrics; scientometrics;
• Thelwall, M. (2016). Citation count distributions for large monodisciplinary journals. Journal of Informetrics, 10(3), 863-874. doi:10.1016/j.joi.2016.07.006 [The discretised lognormal fits citation distributions for individual large journals better than the hooked power law, reversing the situation for entire subject categories. Ultra-high precision (128+bit) parameter fitting software for the hooked power law is also introduced.]-> scientometrics; code and data for this paper.
• Thelwall, M. (2017). TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing & Management, 53(1), 106–121. doi:10.1016/j.ipm.2016.06.009 [Introduces a program TensiStrength to estimate the strength of stress and relaxation expressed in social media texts.]-> Sentiment analysis; website.
• Thelwall, M. (2017). Book genre and author gender: romance>paranormal-romance to autobiography>memoir. Journal of the Association for Information Science and Technology, 68(5), 1212-1223. 10.1002/asi.23768 [There are gender differences in authorship in almost all genres and gender differences the level of interest in, and ratings of, books in a minority of genres. There is not a clear relationship between the success of an author's gender and the prevalence of that gender within a genre.]-> social web A magazine piece was written about this in The Bookseller in July 2016.
• Thelwall, M. (2016). Interpreting correlations between citation counts and other indicators. Scientometrics, 108(1), 337-347. doi:10.1007/s11192-016-1973-7 [The magnitude of correlations between citation counts and other indicators depends on the average citation counts and average indicator values as well as the underlying association between them, so correlations for different data sets are often not comparable.]-> scientometrics; R code and results. [publisher read-only copy]
• Thelwall, M. (2016). Are there too many uncited articles? Zero inflated variants of the discretised lognormal and hooked power law distributions. Journal of Informetrics, 10(2), 622-633. doi:10.1016/j.joi.2016.04.014 [Sets of articles from a Scopus category can have too many uncited articles, due to the indexing of non-academic periodicals. Introduces the zero inflated discretised lognormal distribution and the zero inflated hooked power law distribution to deal with this issue, with software and data.]-> scientometrics; code and data for this paper. Video 1 and 2 of the effect of modelling different numbers of uncited articles.
• Thelwall, M. (2016). Are the discretised lognormal and hooked power law distributions plausible for citation data? Journal of Informetrics, 10(2), 454-470. doi:10.1016/j.joi.2016.03.001 [Although the discretised lognormal and hooked power law distributions fit citation data reasonably well, they have slightly wrong shapes and it is impossible to verify that any distribution is an exact match.]-> scientometrics; code and graphs for paper
• Thelwall, M. & Kousha, K. (2017). Goodreads: A social network site for book readers. Journal of the Association for Information Science and Technology, 68(4), 972-983. doi:10.1002/asi.23733 [Goodreads users are predominantly female. Members choose their own combinations of book-related and social networking activities within the site.] -> social web
• Thelwall, M. (2016). The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression. Journal of Informetrics, 10(2), 336-346. doi:10.1016/j.joi.2015.12.007. [For regression analyses, the best option is to use ordinary least squares regression applied to the natural logarithm of citation counts plus one.] -> scientometrics; code, data and results for paper.
• Thelwall, M. & Kousha, K. (2016). Academic software downloads from Google Code: Useful usage indicators? Information Research. 21(1), paper 709.  [Download counts can be a useful indicator of the wider uptake of academic software.]-> altmetrics
• Thelwall, M. & Kousha, K. (2016). FigShare: A universal repository for academic resource sharing? Online Information Review, 40(3), 333-346. doi:10.1108/OIR-06-2015-0190 [The repository FigShare host resources from some subject areas more than others but the uptake of its resources does not depend on their subject area.] -> altmetrics
• Thelwall, M. (2016). The precision of the arithmetic mean, geometric mean and percentiles for citation data: An experimental simulation modelling approach. Journal of Informetrics, 10(1), 110-123. doi:10.1016/j.joi.2015.12.001 [The geometric mean is more precise than the arithmetic mean and percentile indicators, at least for sets of articles with the same lognormal scale parameter, and so is preferable for citation indicators unless heavier weighting is needed to be given to more highly cited articles.] -> scientometrics; code and results for the paper; geometric mean simple explanation blog post.
• Thelwall, M., & Sud, P. (2016). National, disciplinary and temporal variations in the extent to which articles with more authors have more impact: Evidence from a geometric field normalised citation indicator. Journal of Informetrics, 10(1), 48-61. doi:10.1016/j.joi.2015.11.007 [The geometric Mean Normalized Citation Score is introduced to compare sets of articles from different fields and years. Domestic journal articles with more authors tend to have more citations, but with disciplinary, national and temporal differences and the exception of Russia.] -> scientometrics; geometric mean simple explanation blog post. R code and raw data.
• Thelwall, M., Kousha, K., Dinsmore, A. & Dolby, K. (2016). Alternative metric indicators for funding scheme evaluations. Aslib Journal of Information Management, 68(1), 2-18. doi:10.1108/AJIM-09-2015-0146 [Some alternative indicators can aid funding agencies’ evaluations of their funding schemes, if used carefully.]
• Levitt, J. & Thelwall, M. (2016). Long term productivity and collaboration in information science. Scientometrics, 108(3), 1103-1117. doi:10.1007/s11192-016-2061-8 [The long term productivity of information scientists seems to be highest if they tend to work alone or collaborate with one other author.]
• Kousha, K. & Thelwall, M. (2017). Are Wikipedia citations important evidence of the impact of scholarly articles and books? Journal of the Association for Information Science and Technology, 68(3), 762-779. doi:10.1002/asi.23694 [Citations from Wikipedia are frequent enough to be useful impact indicators for books in the humanities.] -> altmetrics This paper was discussed on the wikimedia blog.
• Thelwall, M., & Kousha, K. (2017). ResearchGate articles: Age, discipline, audience size and impact. Journal of the Association for Information Science and Technology, 68(2), 468-479. doi:10.1002/asi.23675 [Article views in ResearchGate have a significant positive correlation with Scopus citations but seem to reflect a wider audience than scholarly citations.] -> altmetrics
• Thelwall, M., & Kousha, K. (2015). Web indicators for research evaluation, part 1: Citations and links to academic articles from the web. El Profesional de la Información, 24(5), 587-606. doi:10.3145/epi.2015.sep.08 [Reviews research into generating academic indicators from the web.] -> altmetrics
• Thelwall, M., & Kousha, K. (2015). Web indicators for research evaluation, part 2: Social media metrics. El Profesional de la Información, 24(5), 607-620. doi:10.3145/epi.2015.sep.09 [Reviews research into generating academic indicators for journal articles from social media.] -> altmetrics
• Kousha, K. & Thelwall, M. (2015). Web indicators for research evaluation, part 3: Books and non-standard outputs. El Profesional de la Información, 24(6), 724-736. doi:10.3145/epi.2015.nov.04 [Reviews research into generating academic indicators for books and other non-standard research outputs from the web.] -> altmetrics
• Li, X., Thelwall, M. & Kousha, K. (2015). The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication, Aslib Journal of Information Management, 67(6), 614 - 635. [Subject repositories attract substantial numbers of citations from subject areas outside of their primary focus.] -> altmetrics
• Fairclough, R., & Thelwall, M. (2015). More precise methods for national research citation impact comparisons. Journal of Informetrics, 9(4), 895-906. doi:10.1016/j.joi.2015.09.005 [The geometric mean is the most precise indicator of citation impact for a nation's research within a single field, followed by the percentage in the top 50% and then the arithmetic mean. Percentages in the top 10% and 1% are relatively imprecise indicators, as are regression parameters.] -> scientometrics; geometric mean simple explanation blog post.
• Fairclough, R. & Thelwall, M. (2015). National research impact indicators from Mendeley readers. Journal of Informetrics, 9(4), 845–859. doi:10.1016/j.joi.2015.08.003 [Mendeley reader counts can be used instead of citations for national research impact indicators and seem to identify trends about a year earlier.] -> scientometrics altmetrics
• Thelwall, M., Goriunova, O. Vis, F., Faulkner, S., Burns, A., Aulich, J. Mas-Bleda, A., Stuart, E. & D’Orazio, F. (2016). Chatting through pictures? A classification of images tweeted in one week in the UK and USA. Journal of the Association for Information Science and Technology, 67(11), 2575-2586. doi:10.1002/asi.23620 [People tend to share photographs more than other types of images on Twitter, often apparently in real time, and often of people, including selfies. Layered or hybrid images are also common, such as screenshots, collages, and captioned pictures, even for routine sharing.] -> social web
• Kousha, K. & Thelwall, M. (2017). Patent citation analysis with Google. Journal of the Association for Information Science and Technology, 68(1), 48-61.doi:10.1002/asi.23608 [Citations from patents to academic papers can be extracted semi-automatically from the Google Patents index and the results give evidence of commercial relevance for a varying minority of articles in applied disciplines.] -> altmetrics scientometrics
• Vilares Calvo, D., Thelwall, M., & Alonso, M.A. (2015). The megaphone of the people? Spanish SentiStrength for real-time analysis of political tweets. Journal of Information Science, 41(6), 799-813. [Introduces an improved Spanish sentiment strength detection version of SentiStrength and shows Spanish political tweets tend to amplify news stories.]-> Sentiment analysis
• Thelwall, M. (2017). Why do papers have many Mendeley readers but few Scopus-indexed citations and vice versa? Journal of Librarianship & Information Science, 49(2), 144-151. doi:10.1177/0961000615594867 [A list of reasons why articles can have many Mendeley readers but few Scopus-indexed citations and vice versa.] [Software instructions] -> altmetrics
• Thelwall, M. & Fairclough, R. (2015). The influence of time and discipline on the magnitude of correlations between citation counts and quality scores. Journal of Informetrics, 9(3), 529–541. doi:10.1016/j.joi.2015.05.006 [Mixing sets of articles from different years or fields can substantially reduce the strength of the correlation between quality and citation counts.] [data and software]-> scientometrics
• Thelwall, M. & Delgado, M. (2015). Arts and humanities research evaluation: No metrics please, just data. Journal of Documentation, 71(4), 817-833. doi:10.1108/JD-02-2015-0028 [Arts and humanities researchers should be encouraged to think creatively about the kinds of data that they may be able to generate in support of the value of their research and should not rely upon standardised metrics.] -> altmetrics
• Thelwall, M. & Sud, P. (2016). Mendeley readership counts: An investigation of temporal and disciplinary differences. Journal of the Association for Information Science and Technology, 57(6), 3036-3050. doi:10.1002/asi.2355 [Mendeley reader counts increase more quickly than do citation counts across many different areas of research and stabilise after about five years. Coupled with high correlations between Mendeley readers and citations, this confirms the value of Mendeley reader counts as early evidence of impact for research.] -> altmetrics
• Kousha, K. & Thelwall, M. (2016). An automatic method for assessing the teaching impact of books from online academic syllabi. Journal of the Association for Information Science and Technology, 67(12), 2993-3007. doi:10.1002/asi.23542 [Citations from online academic syllabi are a practical source of evidence for the educational impact of books.] -> altmetrics
• Thelwall, M. & Fairclough, R. (2015). Geometric journal impact factors correcting for individual highly cited articles. Journal of Informetrics, 9(2),263–272. [Using the geometric mean rather than the arithmetic mean in journal impact factors reduces the influence of individual highly cited articles.] ->scientometrics geometric mean simple explanation blog post.
• Thelwall, M. & Wilson, P. (2016). Mendeley readership altmetrics for medical articles: An analysis of 45 fields, Journal of the Association for Information Science and Technology, 67(8), 1962-1972. doi:10.1002/asi.23501 [Using the new Mendeley API with its more comprehensive information, shows that Mendeley bookmarks correlate highly (0.7) with citations to medical articles from 2009 in almost all fields and that readership counts follow a lognormal or a hooked power law distribution rather than a power law.] -> altmetrics
• Mohammadi, E., Thelwall, M. & Kousha, K. (2016). Can Mendeley bookmarks reflect readership? A survey of user motivations. Journal of the Association for Information Science and Technology, 67(5), 1198-1209. doi:10.1002/asi.23477 [Based on a survey of Mendeley users, articles are bookmarked in Mendeley mainly because they have been read or intend to be read. Hence Mendeley bookmarks can be used as indicators of readership for articles, at least for Mendeley users.]-> altmetrics
• Thelwall, M. & Wilson, P. (2016). Does research with statistics have more impact? The citation rank advantage of structural equation modelling. Journal of the Association for Information Science and Technology, 67(5), 1233–1244. [Articles using structural equation modelling and related methods tend to get more citations and more Mendeley readers than do comparable articles, although the extent varies by discipline and technique.] -> scientometrics
• Thelwall, M. & Wilson, P. (2014). Regression for citation data: An evaluation of different methods. Journal of Informetrics, 8(4), 963–971. [The best regression strategy for citation count data is to add 1, take the log and then use ordinary least squares regression.] [data and programs used] -> scientometrics
• Thelwall, M. & Maflahi, N. (2016). Guideline references and academic citations as evidence of the clinical value of health research. Journal of the Association for Information Science and Technology, 67(4), 960-966. doi:10.1002/asi.23432 [Articles cited in UK Clinical Knowledge Summaries are more highly cited and more highly read in Mendeley than comparable articles and so make a contribution to both theory and practice.]-> altmetrics
• Thelwall, M. & Maflahi, N. (2015). How important is computing technology for library and information science research? Library and Information Science Research, 37(1), 42–50. [About two thirds of library and information science articles explicitly mention an aspect of computing in their title, keywords or abstract, showing the widespread importance of computing technology to the discipline.] -> Academic writing and research design
• Thelwall, M. & Wilson, P. (2014). Distributions for cited articles from individual subjects and years. Journal of Informetrics, 8(4), 824-839. [For a set of articles from a single subject and year, the hooked power law and the lognormal distributions fit better than the power law (for articles with at least one citation), even for the distribution tail, and so should always be used in preference to the power law.] -> scientometrics
• Kousha, K. & Thelwall, M. (2016). Can Amazon.com reviews help to assess the wider impacts of books? Journal of the Association for Information Science and Technology, 67(3), 566-581. doi:10.1002/asi.23404 [Amazon book reviews (number and sentiment) are useful academic book impact indicators. Book reviews tend to reflect the wider popularity of books rather than their purely academic impact.]-> altmetrics
• Sud, P. & Thelwall, M. (2014). Linked title mentions: A new automated link search candidate. Scientometrics, 101(3), 1831-1849. [A new automatic link search method, linked title mentions, in Webometric Analyst can give more accurate results that URL citations or title mentions in certain circumstances.] -> link analysis
• Maflahi, N. & Thelwall, M. (2016). When are readership counts as useful as citation counts? Scopus versus Mendeley for LIS journals. Journal of the Association for Information Science and Technology, 67(1), 191-199. [Based upon four key LIS journals, Mendeley reader counts are reasonable proxies for citation counts for articles that are 1-10 years old.] -> altmetrics
• Mas-Bleda, A., Thelwall, M., Kousha, K. & Aguillo, I.F. (2014). Do highly cited researchers successfully use the Social Web? Scientometrics, 101(1), 337-356. [Few European highly cited researchers use social web sites but there is a way to estimate their impact in most of these sites.] -> altmetrics
• Mohammadi, E., Thelwall, M., Haustein, S., & Larivière, V. (2015). Who reads research articles? An altmetrics analysis of Mendeley user categories.  Journal of the Association for Information Science and Technology, 66(9), 1832-1846. doi:10.1002/asi.23286 [PhD students, postgraduates and postdocs are the main readers of articles in Mendeley, although there are disciplinary differences.] -> altmetrics
• Sud, P. & Thelwall, M. (2016). Not all international collaboration is beneficial: The Mendeley readership and citation impact of biochemical research collaboration.  Journal of the Association for Information Science and Technology, 67(8), 1849-1857. doi:10.1002/asi.23515 [Collaboration with some countries may not be beneficial, at least at a statistical level.] -> altmetrics, scientometrics
• Thelwall, M. & Maflahi, N. (2015). Are scholarly articles disproportionately read in their own country? An analysis of Mendeley readers. Journal of the Association for Information Science and Technology, 66(6), 1124–1135. doi:10.1002/asi.23252 [Articles tend to be read more in a country if some of the authors are from that country.]-> altmetrics
• Thelwall, M. & Kousha, K. (2015). ResearchGate: Disseminating, communicating and measuring scholarship? Journal of the Association for Information Science and Technology, 66(5). 876–889. doi:10.1002/asi.23236 [Statistics reported by ResearchGate about its users broadly reflect traditional academic hierarchies, at least at the country level, but some countries make much more use of ResearchGate than do others.]-> altmetrics
• Shema, H., Bar-Ilan, J., & Thelwall, M. (2015). How is research blogged? A content analysis approach. Journal of the Association for Information Science and Technology, 66(6), 1136–1149. doi:10.1002/asi.23239 [Health research bloggers tend to cover others' work, seem to aim at a general audience, and often include critical comments.]-> altmetrics
• Kousha, K. & Thelwall, M. (2015). An automatic method for extracting citations from Google Books. Journal of the Association for Information Science and Technology, 66(2), 309–320. [Citations can be automatically extracted from Google Books and this is useful for social sciences and humanities research evaluation.]-> altmetrics
• Abdullah, A. & Thelwall, M. (2014). Can the impact of non-Western academic books be measured? An investigation of Google Books and Google Scholar for Malaysia. Journal of the Association for Information Science and Technology, 65(12), 2498–2508. doi:10.1002/asi.23145 [Citations from Google Books can be found for the monographs and edited volumes of at least one non-Western nation.] -> altmetrics
• Holmberg, K. & Thelwall, M. (2014). Disciplinary differences in Twitter scholarly communication, Scientometrics, 101(2), 1027-1042. [The extent to which researchers use Twitter for conversations, information sharing and research-relevant topics varies by discipline.] -> altmetrics
• Kousha, K. & Thelwall, M. (2014). Disseminating research with web CV hyperlinks. Journal of the Association for Information Science and Technology, 65(8), 1615–1626. [Few EU researchers are fully exploiting their CVs to publicise their research.] -> altmetrics
• Mohammadi, E. & Thelwall, M. (2014). Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows. Journal of the Association for Information Science and Technology, 65(8), 1627-1638. [Mendeley readership data can give evidence of knowledge transfer between disciplines.] -> altmetrics
• Shema, H., Bar-Ilan, J., & Thelwall, M. (2014). Do blog citations correlate with a higher number of future citations? Research blogs as a potential source for alternative metrics. Journal of the Association for Information Science and Technology, 65(5), 1018–1027. [Blog citations can predict future scholarly citations.]-> altmetrics
• Thelwall, M. & Kousha, K. (2014). Academia.edu: Social network or academic network? Journal of the Association for Information Science and Technology, 65(4), 721-731. [Academia.edu reflects a combination of scholarly and social network site norms.] -> social web
• Thelwall, M. & Sud, P. (2014). No citation advantage for monograph-based collaborations? Journal of Informetrics, 8(1), 276-283. [Solo monographs tend to be as highly cited as co-authored monographs, unlike the case of articles.]-> altmetrics
• Sud, P. & Thelwall, M. (2014). Evaluating altmetrics. Scientometrics, 98(2), 1131-1143. 10.1007/s11192-013-1117-2. [Summarises methods to evaluate altmetrics and recommends evaluation strategies. publisher version]-> altmetrics
• Wilkinson, D., Sud, P., & Thelwall, M. (2014). Substance without citation: Evaluating the online impact of grey literature. Scientometrics, 98(2), 797-806. [Webometric methods can be used to help evaluate the publications of organisations that produce grey literature.][publisher version]-> altmetrics
• Mas Bleda, A., Thelwall, M., Kousha, K., & Aguillo, I. (2014). Successful researchers publicizing research online: An outlink analysis of European highly cited scientists’ personal websites. Journal of Documentation, 70(1), 148-172.[There are major disciplinary differences in how successful researchers use the web to point to their articles.] Highly Commended award from Emerald.-> altmetrics
• Thelwall, M., Haustein, S., Larivière, V. & Sugimoto, C. (2013). Do altmetrics work? Twitter and ten other candidates. PLOS ONE, 8(5), e64841. doi:10.1371/journal.pone.0064841 [Altmetrics can associate with higher citation counts, but changes in the uptake of social web services over time makes it invalid to compare scores for articles from different time periods, even a single year.]-> altmetrics
• Didegah, F., & Thelwall, M. (2013). Which factors help authors produce the highest impact research? Collaboration, journal and document properties. Journal of Informetrics, 7(4), 861-873. [Uses statistical modelling to identify document properties associating with higher citation impact.] -> scientometrics
• Wilkinson, D., & Thelwall, M. (2013). Search markets and search results: The case of Bing. Library and Information Science Research, 35(4), 318-325. doi:10.1016/j.lisr.2013.04.006 [(a) Webometric research can exploit search markets to get more search results, and (b) Bing results can vary substantially depending upon the location of the searcher.] -> Search engine evaluation
• Mohammadi, E. & Thelwall, M. (2013). Assessing non-standard article impact using F1000 labels. Scientometrics, 97(2), 383-395.-> altmetrics
• Thelwall, M., & Buckley, K. (2013). Topic-based sentiment analysis for the Social Web: The role of mood and issue-related words. Journal of the American Society for Information Science and Technology, 64(8), 1608–1617.[Social web sentiment analysis performance can be improved by semi-automatically incorporating topic-specific sentiment words into the lexicon and by picking a positive or negative mood as a sentiment default.] -> Sentiment analysis
• Levitt, J., & Thelwall, M. (2013). Alphabetization and the skewing of first authorship towards last names early in the alphabet. Journal of Informetrics 7(3), 575– 582. [publisher version] [Almost throughout the social sciences article authors are sometimes deliberately listed in alphabetical order and that because it damages careers this practice should be stopped, for example by journal author guidelines explicitly stating that it is unacceptable.]-> scientometrics
• Didegah, F. & Thelwall, M. (2013). Determinants of research citation impact in nanoscience and nanotechnology. Journal of the American Society for Information Science and Technology, 64(5), 1055–1064. [Uses statistical modelling to identify document properties associating with higher citation impact in nanoscience research.]-> scientometrics
• Sugimoto, C.R. & Thelwall, M. (2013). Scholars on soap boxes: Science communication and dissemination via TED videos. Journal of the American Society for Information Science and Technology, 64(4), 663-674. [Analyses a wide range of metrics for TED Talks, finding, for example, that academics seem to perform well in contrast to non-academics.]-> altmetrics
• Kousha, K., Thelwall, M. & Abdoli, M. (2012). The role of online videos in research communication: A content analysis of YouTube videos cited in academic publications. Journal of the American Society for Information Science and Technology, 63(9), 1710–1727. -> altmetrics
• Wilkinson, D. & Thelwall, M. (2012). Trending Twitter topics in English: An international comparison. Journal of the American Society for Information Science and Technology, 63(8), 1631-1646. [Software instructions] PowerPoint results map; bottom-up results; top-down results.-> social web
• Thelwall, M. (2012). Journal impact evaluation: A webometric perspective, Scientometrics, 92(2), 429-441.[Publisher version]-> scientometrics
• Minguillo, D. & Thelwall, M. (2012). Mapping the network structure of science parks: An exploratory study of cross-sectoral interactions reflected on the web, ASLIB Proceedings, 64(4), 332-357. -> altmetrics
• Didegah, F., Thelwall, M. & Gazni, A. (2012). An international comparison of journal publishing and citing behaviours, Journal of Informetrics 6(4), 516-531.-> scientometrics
• Shema, H., Bar-Ilan, J., & Thelwall, M. (2012). Research blogs and the discussion of scholarly information. PLOS ONE 7(5): e35869.-> altmetrics
• Thelwall, M., Sud, P., & Wilkinson, D. (2012). Link and co-inlink network diagrams with URL citations or title mentions. Journal of the American Society for Information Science and Technology, 63(4),805-816. -> altmetrics
• Li, X., Thelwall, M., & Giustini, D. (2012). Validating online reference managers for scholarly impact measurement, Scientometrics, 91(2), 461-471.-> altmetrics
• Thelwall, M. & Sud, P. (2012). Webometric research with the Bing Search API 2.0. Journal of Informetrics, 6(1), 44-52.-> Search engine evaluation
• Thelwall, M., Sud, P., & Vis, F. (2012). Commenting on YouTube videos: From Guatemalan rock to El Big Bang. Journal of the American Society for Information Science and Technology, 63(3), 616–629. -> social web
• Thelwall, M., Buckley, K., & Paltoglou, G. (2012). Sentiment strength detection for the social web. Journal of the American Society for Information Science and Technology, 63(1), 163-173. [Describes and evaluates an improved sentiment analysis approach to detect the strength of positive and negative sentiment in a wide variety of types of social web texts.] -> Sentiment analysis
• Eccles, K.E., Thelwall, M., & Meyer, E.T. (2012). Measuring the web impact of digitised scholarly resources. Journal of Documentation, 68(4), 512-526.-> altmetrics
• Kousha, K., Thelwall, M. & Rezaie, S. (2011). Assessing the citation impact of books: The role of Google Books, Google Scholar and Scopus. Journal of the American Society for Information Science and Technology, 62(11) 2147–2164. -> altmetrics
• Thelwall, M. & Sud, P. (2011). A comparison of methods for collecting web citation data for academic organisations. Journal of the American Society for Information Science and Technology, 62(8), 1488–1497. [Compares URL citations, title mentions and link counts against each other, for both hit count estimates and full lists of URLs.] -> altmetrics
• Wilkinson, D. & Thelwall, M. (2011). Researching personal information on the public Web: Methods and ethics, Social Science Computer Review, 29(4), 387-401. -> social web
• Chmiel, A., Sienkiewicz, J., Thelwall, M., Paltoglou, G., Buckley, K., Kappas, A. & Hołyst, J.A. (2011). Collective emotions online and their influence on community life, PLOS ONE, 6(7): e22207.-> Sentiment analysis
• Levitt, J., Thelwall, M. & Oppenheim, C. (2011). Variations between subjects in the extent to which the social sciences have become more interdisciplinary. Journal of the American Society for Information Science and Technology, 62(6), 1118-1129. -> scientometrics
• Thelwall, M., Buckley, K., & Paltoglou, G. (2011). Sentiment in Twitter events. Journal of the American Society for Information Science and Technology, 62(2), 406-418. [Peaks of interest in external events are reflected in slight increases in negative sentiment strength for the topic.] [read a summary in this science blog] -> Sentiment analysis
• Levitt, J., & Thelwall, M. (2011). A combined bibliometric indicator to predict article impact. Information Processing & Management, 47(2), 300-308. -> scientometrics
• Cugelman, B., Thelwall, M. & Dawes, P. (2011). The psychology of online behavioural influence interventions: a meta-analysis. Journal of Medical Internet Research 13(1), e17.
• Thelwall, M. (2011). A comparison of link and URL citation counting. ASLIB Proceedings, 63(4), 419-425. [Outstanding paper award] -> altmetrics
• Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., & Kappas, A. (2010). Sentiment strength detection in short informal text. Journal of the American Society for Information Science and Technology, 61(12), 2544-2558. [Describes and evaluates a new sentiment analysis approach to detect the strength of positive and negative sentiment in short informal social web texts.] [sentistrength web site] -> Sentiment analysis
• Wilkinson, D. & Thelwall, M. (2010). Social network site changes over time: The case of MySpace. Journal of the American Society for Information Science and Technology, 61(11), 2311–2323. -> social web
• Thelwall, M., Wilkinson, D. & Uppal, S. (2010). Data mining emotion in social network communication: Gender differences in MySpace, Journal of the American Society for Information Science and Technology, 61(1), 190-199. [Two thirds of comments in US MySpace expressed positive sentiment but a minority (20%) contained negative sentiment; females are likely to give and receive more positive comments than are males.] -> Sentiment analysis
• Thelwall, M. & Wilkinson, D. (2010). Public dialogs in social network sites: What is their purpose? Journal of the American Society for Information Science and Technology, 61(2), 392-404. -> social web
• Kousha, K. & Thelwall, M. & Rezaie, S. (2010). Can the impact of scholarly images be assessed online?  An exploratory study using image identification technology, Journal of the American Society for Information Science and Technology, 61(9), 1734–1744. -> altmetrics
• Thelwall, M., Klitkou, A., Verbeek, A., Stuart, D. & Vincent, C. (2010). Policy-relevant webometrics for individual scientific fields, Journal of the American Society for Information Science and Technology, 61(7) 1464-1475. -> altmetrics
• Levitt, J., & Thelwall, M. (2010). Does the higher citation of collaborative research differ from region to region? A case study of economics, Scientometrics, 85(1), 171-183. [abstract and publisher copy] -> scientometrics
• Angus, E., Thelwall, M., Stuart, D. (2010). Flickr’s potential as an academic image resource: an exploratory study. Journal of Librarianship and Information Science, 42(4) 268–278. -> social web
• Kousha, K., Thelwall, M. & Rezaie, S. (2010). Using the web for research evaluation: The Integrated Online Impact indicator, Journal of Informetrics, 4(1), 124-135. -> altmetrics
• Koteyko, N. Thelwall, M. & Nerlich, B. (2010). From carbon markets to carbon morality: creative compounds as framing devices in online discourses on climate change mitigation. Science Communication, 32(1), 25-54. -> social web
• Shifman, L. & Thelwall, M. (2009). Assessing global diffusion with Web Memetics: The spread and evolution of a popular joke, Journal of the American Society for Information Science and Technology 60(12), 2567-2576.-> social web
• Kousha, K. & Thelwall, M. (2009). Google Book Search: Citation analysis for social science and the humanities, Journal of the American Society for Information Science and Technology, 60(8), 1537-1549. -> altmetrics
• Cugelman, B., Thelwall, M., & Dawes, P. (2009). The dimensions of website credibility and their relation to active trust and behavioural impact, Communications of the Association for Information Systems, 24, 455-472. webometrics online social marketing
• Prabowo, R., Thelwall, M., (2009). Sentiment analysis: A combined approach, Journal of Informetrics, 3(1), 143-157. -> Sentiment analysis
• Levitt, J., & Thelwall, M. (2009). Citation levels and collaboration within Library and Information Science, Journal of the American Society for Information Science and Technology, 60(3), 434-442. [Note that seven Price medallists (Moravscik MJ; Merton RK; Vlachy, J; Irvine, J; Nalimov VV; Martin BR; Rousseau R) were omitted from the table of results - these are all clearly highly influential information scientists but did not meet one of the technical criteria mentioned in the methods for conducting the analysis.]  -> scientometrics
• Thelwall, M. (2009). Homophily in MySpace, Journal of the American Society for Information Science and Technology, 60(2), 219-231. -> social web
• Thelwall, M. (2009). MySpace comments. Online Information Review, 33(1), 58-76. [An analysis of words used in MySpace comments]-> social web
• Prabowo, R., Thelwall, M., Hellsten I., & Scharnhorst A., (2008). Evolving debate in online communication: A graph analytical approach. Internet Research, 18(5), 520-540. -> social web
• Holmberg, K. & Thelwall, M. (2009). Local government web sites in Finland: A geographic and webometric analysis. Scientometrics, 79(1), 157-169. -> link analysis
• Kousha, K. & Thelwall, M. (2008). Assessing the impact of disciplinary research on teaching:  An automatic analysis of online syllabuses, Journal of the American Society for Information Science and Technology, 59(13), 2060-2069. -> altmetrics
• Levitt, J. & Thelwall, M. (2008). Is multidisciplinary research more highly cited? A macro-level study. Journal of the American Society for Information Science and Technology, 59(12), 1973-1984.
• Thelwall, M. (2008). No place for news in social networking web sites? Online Information Review, 32(6), 726-744.-> social web
• Park, H. W., & Thelwall, M. (2008). Developing network indicators for ideological landscapes from the political blogosphere in South Korea. Journal of Computer-Mediated Communication, 13(4), 856-879. -> link analysis
• Thelwall, M. (2008). Social networks, gender and friending: An analysis of MySpace member profiles. Journal of the American Society for Information Science and Technology, 59(8), 1321-1330. -> social web
• Thelwall, M., Wouters, P., & Fry, J. (2008). Information-Centred Research for large-scale analysis of new information sources. Journal of the American Society for Information Science and Technology, 59(9), 1523-1527. [More about this big data theory] -> webometrics
• Thelwall, M. (2008). Quantitative comparisons of search engine results. Journal of the American Society for Information Science and Technology, 59(11), 1702-1710. [See also Google patents, which are relevant and I hadn't spotted at the time. Particularly this]-> Search engine evaluation
• Thelwall, M. (2008). Fk yea I swear: Cursing and gender in a corpus of MySpace pages, Corpora, 3(1), 83-107. [The preprint is an extended version of the published article.]-> social web
• Prabowo, R, & Thelwall, M. (2008). Finding and tracking subjects in a debate over time, Journal of Informetrics, 2(2), 107-127. -> social web
• Thelwall, M. & Kousha, K. (2008). Online presentations as a source of scientific impact?: An analysis of PowerPoint files citing academic journals, Journal of the American Society for Information Science and Technology, 59(5), 805-815. -> altmetrics
• Thelwall, M. (2008). Bibliometrics to Webometrics. Journal of Information Science, 34(4), 605-621. [This paper was accepted for publication in Journal of Information Science and the final (edited, revised and typeset), definitive version of this paper was published in 2008 by SAGE Publications Ltd, All rights reserved. © SAGE Publications Ltd] -> scientometrics
• Levitt, J. & Thelwall, M. (2008). Patterns of annual citation of highly cited articles and the prediction of their citation ranking: A comparison across subjects. Scientometrics, 77(1), 41-60. -> scientometrics
• Payne, N., & Thelwall, M. (2008). Do academic link types change over time? Journal of Documentation, 64(5), 707-720. -> link analysis
• Angus, E., Thelwall, M., & Stuart D. (2008). General patterns of tag usage among university groups in Flickr, Online Information Review, 32(1), 89-101.
• Barjak, F. & Thelwall, M. (2008). A statistical analysis of the web presences of European life sciences research teams. Journal of the American Society for Information Science and Technology, 59(4), 628-643. -> link analysis
• Levitt, J. & Thelwall, M. (2009). The most highly cited library and information science articles: Interdisciplinarity, first authors and citation patterns. Scientometrics, 78(1), 45-67. -> scientometrics
• Thelwall, M. & Zuccala, A. (2008). A university-centred European Union link analysis, Scientometrics, 75(3), 407-420. -> link analysis
• Thelwall, M. & Wilkinson, D. (2008). A generic lexical URL segmentation framework for counting links, colinks or URLs, Library and Information Science Research, 30(2), 94-101. [publisher's final version] -> link analysis
• Thelwall, M. (2008). Extracting accurate and complete results from search engines: Case study Windows Live. Journal of the American Society for Information Science and Technology, 59(1), 38-50.-> Search engine evaluation [The hit count estimates from search engines seem to estimate either (a) the total number of matches or (b) the number of matches after eliminating spam, same domain duplicates and near duplicates. This explains their variations in accuracy. This paper also introduces query splitting, an automatic variation of Judit Bar-Ilan's method to get extra matches for a query beyond those normally given by a search engine.]
• Payne, N. & Thelwall, M. (2008). Longitudinal trends in academic web links. Journal of Information Science, 34(1), 3-14. -> link analysis
• Thelwall, M., Li, X., Barjak, F. & Robinson, S. (2008). Assessing the web connectivity of research groups on an international scale. ASLIB Proceedings, 60(1), 18-31. -> link analysis
• Kousha, K. & Thelwall, M. (2008). Sources of Google Scholar citations outside the Science Citation Index: A comparison between four science disciplines. Scientometrics, 74(2), 273-294. -> altmetrics
• Tang, R. & Thelwall, M. (2008). A hyperlink analysis of US public and academic libraries’ Web sites. Library Quarterly, 78(4), 419-435. -> link analysis
• Thelwall, M., Byrne, A. & Goody, M. (2007). Which types of news story attract bloggers? Information Research 12(4). -> social web
• Zuccala, A., Thelwall, M., Oppenheim, C., & Dhiensa, R. (2007). Web intelligence analyses of digital libraries: A case study of the National Electronic Library for Health (NeLH). Journal of Documentation, 63(4), 558-589. -> link analysis
• Lamboitte, R., Ausloos, M. & Thelwall, M. (2007). Word statistics in Blogs and RSS feeds: Towards empirical universal evidence. Journal of Informetrics, 1(4), 277-286. -> social web
• Kousha, K. & Thelwall, M. (2007). The web impact of open access social science research. Library and Information Science Research, 29(4), 495-507. -> link analysis
• Kousha, K. & Thelwall, M. (2007). How is science cited on the web? A classification of Google unique web citations. Journal of the American Society for Information Science and Technology, 58(11), 1631-1644. -> altmetrics
• Thelwall, M. & Stuart, D. (2007). RUOK? Communication technologies blogged during a crisis. Journal of Computer-Mediated Communication, 12(9). -> social web
• Prabowo, R., Thelwall, M. & Alexandrov, M. (2007). Generating overview timelines for major events in an RSS corpus. Journal of Informetrics, 1(2), 131-144. -> social web
• Thelwall, M. (2007). Blog searching: The first general-purpose source of retrospective public opinion in the social sciences? Online Information Review, 31(3), 277-289. [publisher version] ['Highly Commended' award from the publisher Emerald] Blogpulse.com has now closed but similar graphs can be made from social web data using Topsy Analytics.-> Search engine evaluation
• Kousha, K. & Thelwall, M. (2007). Google Scholar citations and Google Web/URL citations: A multi-discipline exploratory analysis, Journal of the American Society for Information Science and Technology, 57(6), 1055-1065. [Highly cited paper award in social sciences and art and humanities from Iran's Ministry of Science and Technology, 2008] -> altmetrics
• Stuart, D., Thelwall, M. & Harries, G. (2007). UK academic web links and collaboration – an exploratory study. Journal of Information Science, 33(2), 231-246. -> link analysis
• Thelwall, M. & Prabowo, R. (2007). Identifying and characterising public science-related fears from RSS feeds. Journal of the American Society for Information Science and Technology, 58(3), 379-390. -> social web
• Barjak, F., Li., X. & Thelwall, M. (2007). Which factors explain the web impact of scientists’ personal homepages? Journal of the American Society for Information Science and Technology, 58(2), 200-211. -> link analysis
• Stuart, D. & Thelwall, M. (2006). Investigating triple helix relationships using URL citations: A case study of the UK West Midlands automobile industry. Research Evaluation, 15(2), 97-106. -> link analysis
• Thelwall, M. & Hellsten, I. (2006). The BBC, Telegraph and Wikinews timelines of the London Attacks: A comparison with contemporary discussions. Information Research 12(1). -> social web
• Prabowo, R. & Thelwall, M. (2006). A comparison of feature selection methods for an evolving RSS feed corpus. Information Processing & Management, 42(6), 1491-1512. -> social web
• Thelwall, M., Thelwall, S. & Fairclough, R. (2006). Automated web issue analysis: A nurse prescribing case study. Information Processing & Management, 42(6), 1471-1483. -> social web
• Kousha, K. & Thelwall, M. (2006). Motivations for URL citations to open access library and information science articles. Scientometrics , 68(3), 501-517. -> link analysis
• Thelwall, M. & Stuart, D. (2006). Web crawling ethics revisited: Cost, privacy and denial of service. Journal of the American Society for Information Science and Technology, 57(13), 1771-1779. -> webometrics
• Thelwall, M., Prabowo, R. & Fairclough, R. (2006). Are raw RSS feeds suitable for broad issue scanning? A science concern case study. Journal of the American Society for Information Science and Technology, 57(12), 1644-1654. -> social web
• Thelwall, M. & Price, E. (2006). Language evolution and the spread of ideas: A procedure for identifying emergent hybrid word family members. Journal of the American Society for Information Science and Technology, 57(10), 1326-1337. -> social web
• Thelwall, M., Vann, K. & Fairclough, R. (2006). Web issue analysis: An Integrated Water Resource Management case study. Journal of the American Society for Information Science and Technology, 57(10), 1303-1314. -> social web
• Thelwall, M., Barjak, F. & Kretchmer, H. (2006). Web links and gender in science: An exploratory analysis. Scientometrics, 67(3), 373-383. -> link analysis
• Thelwall, M. (2006). Interpreting social science link analysis research: A theoretical framework. Journal of the American Society for Information Science and Technology, 57(1), 60-68. -> link analysis
• Li, X., Thelwall, M., Musgrove, P. & Wilkinson, D. (2005). National and international university departmental web site interlinking: Part 2, link patterns. Scientometrics, 64(2), 187-208. -> link analysis
• Price, E. & Thelwall, M. (2005). The clustering power of low frequency words in academic webs. Journal of the American Society for Information Science and Technology, 56(8), 883-888. -> webometrics
• Thelwall, M. (2005). Text characteristics of English language university web sites. Journal of the American Society for Information Science and Technology, 56 (6), 609–619. -> webometrics
• Harries, G., Wilkinson, D., Price, E., Fairclough, R. & Thelwall, M. (2004). Hyperlinks as a data source for science mapping, Journal of Information Science, 30(5), 436-447. -> link analysis
• Thelwall, M. & Harries, G. (2004). Can personal web pages that link to universities yield information about the wider dissemination of research? Journal of Information Science, 30(3), 243-256. -> link analysis
• Thelwall, M. (2004). Can the web give useful information about commercial uses of scientific research? Online Information Review, 28(2), 120-130. [Emerald 'Outstanding Paper' award] -> link analysis
• Thelwall, M. (2004). Weak benchmarking indicators for formative and semi-evaluative assessment of research. Research Evaluation, 13(1), 63-68. -> altmetrics scientometrics
• Tang, R. & Thelwall, M. (2004). Patterns of national and international web inlinks to US academic departments: An analysis of disciplinary variations. Scientometrics, 60(3), 475-485. -> link analysis
• Thelwall, M., & Harries, G. (2004). Do the Web sites of higher rated scholars have significantly more online impact? Journal of the American Society for Information Science and Technology, 55(2), 149-159. -> link analysis
• Vaughan, L. & Thelwall, M. (2004). Search engine coverage bias: evidence and possible causes. Information Processing & Management, 40(4), 693-707. -> Search engine evaluation
• Thelwall, M. & Wilkinson, D. (2004). Finding similar academic Web sites with links, bibliometric couplings and colinks. Information Processing & Management, 40(3), 515-526. -> link analysis
• Thelwall, M. & Vaughan, L. (2004). A fair history of the Web? Examining country balance in the Internet Archive, Library & Information Science Research, 26(2), 162-176. -> Search engine evaluation
• Thelwall, M. & Vaughan, L (2004). New versions of PageRank employing alternative Web document models. ASLIB Proceedings, 56(1), 24-33. -> link analysis
• Thelwall, M. (2004). Methods for reporting on the targets of links from national systems of university Web sites. Information Processing & Management, 40(1), 125-144. -> link analysis
• Thelwall, M. & Tang, R. (2003). Disciplinary and linguistic considerations for academic Web linking: An exploratory hyperlink mediated study with Mainland China and Taiwan. Scientometrics, 58(1), 153-179. -> link analysis
• Wilkinson, D., Thelwall, M. & Li, X. (2003). Exploiting hyperlinks to study academic Web use. Social Science Computer Review, 21(3), 340-351. -> link analysis
• Thelwall, M. (2003). What is this link doing here? Beginning a fine-grained process of identifying reasons for academic hyperlink creation. Information research, 8(3). -> link analysis
• Thelwall, M., Vaughan, L., Cothey, V., Li, X. & Smith, A. (2003). Which academic subjects have most online impact? A pilot study and a new classification process, Online Information Review 27(5), 333-343. -> link analysis
• Thelwall, M. & Price, E. (2003). Disciplinary differences in academic web presence - A statistical study of the UK. Libri, 53(4), 242-253. -> link analysis
• Tang, R. & Thelwall, M. (2003). Disciplinary differences in US academic departmental web site interlinking, Library & Information Science Research, 25(4), 437-458. -> link analysis
• Thelwall, M. (2003). A layered approach for investigating the topological structure of communities in the web. Journal of Documentation, 59(4), 410-429. -> link analysis
• Thelwall, M., Harries, G., & Wilkinson, D. (2003). Why do web sites from different academic subjects interlink? Journal of Information Science, 29(6), 445-463. -> link analysis
• Li, X., Thelwall, M., Musgrove, P. & Wilkinson, D. (2003). The relationship between the links/Web Impact Factors of computer science departments in UK and their RAE (Research Assessment Exercise) ranking in 2001. Scientometrics, 57(2), 239-255. -> link analysis
• Thelwall, M. & Wilkinson, D. (2003). Graph structure in three national academic Webs: Power laws with anomalies. Journal of the American Society for Information Science and Technology, 54(8), 706-712. -> link analysis
• Thelwall, M. & Harries, G. (2003). The connection between the research of a university and counts of links to its web pages: An investigation based upon a classification of the relationships of pages to the research of the host university. Journal of the American Society for Information Science and Technology, 54(7), 594-602. -> link analysis
• Thelwall, M. (2003). Can Google's PageRank be used to find the most important academic web pages? Journal of Documentation, 59(2), 205-217. ['Citation of Excellence' from the publisher Emerald] -> link analysis
• Thelwall, M. & Wilkinson, D. (2003). Three target document range metrics for university Web sites. Journal of the American Society for Information Science and Technology, 54(6), 489-496. -> link analysis
• Thelwall, M., Tang, R. & Price, E. (2003). Linguistic patterns of academic web use in Western Europe. Scientometrics, 56(3), 417-432. -> link analysis
• Wilkinson, D., Harries, G., Thelwall, M. & Price, E. (2003). Motivations for academic web site interlinking: Evidence for the web as a novel source of information on informal scholarly communication. Journal of Information Science, 29(1), 59-66. -> link analysis
• Thelwall, M. (2003). Web use and peer interconnectivity metrics for academic web sites, Journal of Information Science, 29(1), 11-20. -> link analysis
• Thelwall, M. (2002). Research dissemination and invocation on the web. Online Information Review 26(6), 413-420. -> link analysis
• Thelwall, M. & Smith, A. (2002). A study of the interlinking between Asia-Pacific university web sites. Scientometrics, 55(3), 335-348. -> link analysis
• Thelwall, M. (2002). A research and institutional size based model for national university web site interlinking. Journal of Documentation, 58(6), 683-694. -> link analysis
• Thelwall, M. (2002). The top 100 linked pages on UK university web sites: High inlink counts are not usually directly associated with quality scholarly content. Journal of Information Science, 28(6), 485-493. -> link analysis
• Thelwall, M. (2002). Evidence for the existence of geographic trends in university web site interlinking. Journal of Documentation, 58(5), 563-574. ['Highly Commended' by the publisher Emerald] -> link analysis
• Thelwall, M. (2002). Conceptualizing documentation on the web: an evaluation of different heuristic-based models for counting links between university web sites, Journal of the American Society for Information Science and Technology, 53(12), 995-1005. [Cited in Microsoft patent: US 7739281 B2] -> link analysis
• Thelwall, M. (2002). Methodologies for crawler based web surveys. Internet Research: Electronic Networking and Applications, 12(2), 124-138. -> webometrics
• Thelwall, M. Binns, R. Harries, G. Page-Kennedy, T. Price E. and Wilkinson, D. (2002). European Union associated university websites. Scientometrics, 53(1), 95-111. -> webometrics
• Thelwall, M. (2002). Sources of links for WIF calculations. Journal of Documentation 58(1) 60-72. -> link analysis
• Thelwall, M. (2002). An initial exploration of the link relationship between UK university web sites. ASLIB Proceedings, 54(2), 118-126. -> link analysis
• Thelwall, M. (2001). Extracting macroscopic information from web links. Journal of the American Society for Information Science and Technology, 52(13), 1157-1168. -> link analysis
• Thelwall, M. (2001). Results from a Web Impact Factor crawler. Journal of Documentation, 57(2), 177-191. -> link analysis
• Thelwall, M. (2000). Web Impact Factors and search engine coverage. Journal of Documentation, 56(2), 185-189. -> link analysis
• Thelwall, M. (2000). Computer Based Assessment: A versatile educational tool. Journal of Computers and Education, 34, 37-49. [publisher version]

• Thelwall, M. & Kappas, A. (2014). The role of sentiment in the social web. In: von Scheve, C. & Salmela, M. (eds.) Collective Emotions. Oxford: Oxford University Press (pp. 375-388). Sentiment analysis
• Thelwall, M. (2013). Society on the Web. In: Dutton, W., (ed.), The Oxford Handbook of Internet Studies. Oxford, UK: Oxford University Press (pp. 69-85). webometrics
• Thelwall, M., Kousha, K., Weller, K., & Puschmann, C. (2012). Assessing the impact of online academic videos. In: G. Widen Wulff & K. Holmberg, (Eds), Social Information Research, Bradford: Emerald Group Publishing Limited. (pp. 195-213). altmetrics
• Thelwall, M. (2011). Privacy and gender in the Social Web. In: Sabine Trepte, Leonard Reinecke (Eds), Privacy online: Perspectives on Privacy and Self-Disclosure in the Social Web, New York: Springer (pp. 255-269). social web
  • Chapter summary: Gender is important for understanding attitudes to privacy in the social web because of the many gender-related privacy differences. In general, women are more concerned about privacy than men but nevertheless publish more personal information in blogs and social network sites. The root causes of the differences seem to lie in socialised gendered communication strategies and privacy-related issues that disproportionately concern women. This chapter reviews evidence for gendered online communication and privacy concerns, focusing mainly on blogs, social network sites and YouTube, and includes a special section on LGBT issues. [See also book web site; see also related article by Michael Zimmer on Facebook research ethics]
• Thelwall, M. (2011). Investigating human communication and language from traces left on the web. In: Malcolm Williams, W Paul Vogt, (Eds), The SAGE Handbook of Innovation in Social Research Methods, London: Sage. (pp. 167-181). [This includes some small link diagrams for Alan Turing] webometrics social web
• Thelwall, M. (2009). Social network sites: Users and uses. In: M. Zelkowitz (Ed.), Advances in Computers 76. Amsterdam: Elsevier (pp. 19-73). social web

• Thelwall, M. (2021). Word association thematic analysis: A social media text exploration strategy. San Rafael, CA: Morgan & Claypool. [A method to analyse text for themes. It is designed for social media or other short form texts. The supporting software Mozdeh can gather and analyse YouTube comments and tweets (including from the Academic Research Twitter track).Video summary.] social web
• Thelwall, M. (2018). Social web text analytics with Mozdeh. University of Wolverhampton. [Free short book giving an overview of the social web text analytics capabilities of the free software Mozdeh.] social web
• Thelwall, M. (2017). Web indicators for research evaluation: A practical guide. San Rafael, CA: Morgan & Claypool. [An overview of all the steps needed from data collection to analysis and interpretation for web indicators, including practical advice.]altmetrics
• Thelwall, M. (2013). Big Data and Social Web Research Methods [free]. University of Wolverhampton. [This is an updated and extended free ebook based upon the book below and four extra chapters. It can be read on its own or as an update to the book below.] webometrics
• Thelwall, M. (2009). Introduction to webometrics: Quantitative web research for the social sciences. San Rafael, CA: Morgan & Claypool (Synthesis Lectures on Information Concepts, Retrieval, and Services, 2009, Vol. 1, No. 1). Webometrics book blog. and Webometrics book web site. webometrics
• Also available in Persian, translated by M. Hassanzadeh, M. Hosseini and F. Navidi.
• Thelwall, M. (2004). Link analysis: An information science approach. San Diego: Academic Press. link analysis webometrics
• Also in Chinese as: (美) 迈克·塞沃尔著 (2009). 链接分析：信息科学的研究方法, 东南大学出版社 (South East University Press). ISBN 978-7-5641-1279-0.

Edited book

• Glänzel, W., Moed, H. F., Schmoch, H., & Thelwall, M. (eds.) (2019). Handbook of Science and Technology Indicators. Berlin, Germany: Springer.

• Matt Bickley - Grey literature impact evaluation - the main supervisor is Kayvan Kousha
• Anna Last - Altmetrics for health information impact. Director of studies.
• Mike Taylor - Altmetrics. Director of Studies.

Former PhD Students

• Dr Tint Hla Hla Htoo - Altmetrics - NTU Singapore, Committee member.
• Dr Marzieh Shahmandi - Modified mean and quantile regression models for citation analysis. second supervisor (director of studies: Paul Wilson).
• Dr Nushrat Khan - Research data sharing, reuse, and metrics: adoption and challenges across disciplines and repositories. Director of studies.
• Dr Reshmi Pillai - Expressions of psychological stress on Twitter: detection and characterisation. Director of studies.
• Dr David Foster - Factors influencing the popularity of YouTube videos and users’ decisions to watch them. Director of studies.
• Dr Joe Aduku - Can web indicators be used to estimate the citation impact of conference papers in engineering? Director of studies.
• Dr Wan Jing Low - Variants of compound models and their application to citation analysis. second supervisor (director of studies: Paul Wilson).
• Dr Hadas Shema, Information Intersections. main supervisor: Professor Judit Bar-Ilan.
• Dr Patrick Kenekayoro, Collaboration between UK universities: A machine-learning based webometric analysis. 2011-2014. Director of studies: Kevan Buckley.
• Dr Ehsan Mohammadi, Identifying the Invisible Impact of Scholarly Publications: A Multi-Disciplinary Analysis Using Altmetrics. 2011-2014. Director of studies. [The world's first PhD in altmetrics.]
• Dr Stacey Lewis, VideoTag: Encouraging the effective tagging of internet videos through tagging games. 2009-2014. Director of studies.
• Dr Fereshteh Didegah, Factors associating with the future citation impact of published articles: a statistical modelling approach. 2011-2014 Director of studies.
• Dr Natalia Ponomareva, Graph-based approaches for semi-supervised and cross-domain sentiment analysis. 2011-2014. Director of studies.
• Dr David Minguillo, Mapping R&D support infrastructures: a scientometric and webometric study of UK science parks. 2010-2013: Director of studies.[not sure why this is not online]
• Dr Emma Stuart, Motivations to Upload and Tag Images vs. Tagging Practice: An Investigation of the Web 2.0 Site Flickr. 2007-2012: Director of studies.
• Dr Brian Cugelman, Online social marketing: Website factors in behavioural change. 2007-2010: Director of studies.
• Dr Kim Holmberg, Webometric network analysis: Mapping cooperation and geopolitical connections between local government administration on the web. Åbo Akademi University, Finland. External PhD advisor.
• Dr Jonathan Levitt, An international multidisciplinary analysis of scholarly communication through investigating citation levels. 2006-2008: Director of studies.
• Dr David Stuart, Web Manifestations of Knowledge-Based Innovation Systems in the UK. 2004-2007: Director of studies.
• Dr Nigel Payne, Longitudinal studies of academic web links. 2004-2007: Director of studies.
• Dr Kayvan Kousha. University of Tehran. External PhD supervisor; Professor Abbas Horri was the main supervisor.
• Dr Lennart Björneborn, Small world phenomena on the Web, 2002-2003: Second supervisor (project supervisor) at the Royal School of Library and Information Science, Copenhagen, Denmark. Main supervisor: Professor Peter Ingwersen. Winner of the 2004 ASIST Proquest/UMI Doctoral Dissertation Award.
• Dr Xuemei Li, National and international university departmental web site interlinking: a webometric analysis: Director of studies.

• 22 Information science
• 12 Computational linguistics
• 8 Computer science
• 3 Social science (sociology/politics, communication studies, cultural studies)
• 1 Physics (complex systems)

Qualifications

• BSc (Hons) I Mathematics, Lancaster University 1986
• PhD Mathematics, Lancaster University 1989

Bass guitarist in the Atomic Rooster tribute band Nutha Clucker, and in Buy Shoes, Get Haircut, Do Gig.