School of Mathematics and Computing, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1LY, UK. Tel. +44 1902 321470. Fax +44 1902 321478. m dot thelwall at wlv.ac.uk. ORCID: 0000-0001-6065-205X.
Thelwall, M. (in press). Reader and author gender and genre in Goodreads. Journal of Librarianship & Information Science. [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
Orduna-Malea, E., Thelwall, M. & Kousha, K. (in press). Web citations in patents: Evidence of technological impact? Journal of the Association for Information Science and Technology. 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;
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. (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. & 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., & 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., 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.] -> altmetricsscientometrics
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
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. (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
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
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
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
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
Wilkinson, D. & Thelwall, M. (2011). Researching personal information on the public Web: Methods and ethics, Social Science Computer Review, 29(4), 387-401. (email for a copy). Related e-research ethics article. -> social web
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. (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
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
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
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
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. (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.]
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
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
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
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
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). 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. & 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., 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
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]
Thelwall, M. (2013). Big Data and Social Web Research Methods [free in-progress draft copy]. University of Wolverhampton. [This is an updated and extended free ebook based upon the book below and four extra chapters from a forthcoming book. It can be read on its own or as an update to the book below] [28 August 2014 update; a previous version of this book was called: Webometrics and social web research methods] webometrics
Dr David Minguillo, Mapping R&D support infrastructures: a scientometric and webometric study of UK science parks. 2010-2013: Director of studies.
Dr Emma Stuart, Image tagging: How do motivations to tag compare with tagging practices? 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, Factors affecting citation levels: An international multidisciplinary analysis. 2006-2008: Director of studies.
Dr David Stuart, Online university-industry-government relationships. 2004-2007: Director of studies.
Dr Nigel Payne, Longitudinal studies of academic web links. 2004-2007: Director of studies.
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, The development of methodologies to investigate web interlinking of academic departments: The case of university computer science departments in Europe, 2001-2005: Director of studies.
PhD Examinations (35)
13 Information science
10 Computational linguistics
8 Computer science
3 Social science (sociology/politics, communication studies, cultural studies)
1 Physics (complex systems)
BSc (Hons) I Mathematics, Lancaster University 1986
PhD Mathematics, Lancaster University 1989
Bass guitarist in the Atomic Rooster tribute band Nutha Clucker.