-
Didegah, F.; Thelwall, M.: Co-saved, co-tweeted, and co-cited networks (2018)
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- Date
- 28. 7.2018 10:00:22
- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.8, S.959-973
-
Thelwall, M.; Goriunova, O.; Vis, F.; Faulkner, S.; Burns, A.; Aulich, J.; Mas-Bleda, A.; Stuart, E.; D'Orazio, F.: Chatting through pictures : a classification of images tweeted in one week in the UK and USA (2016)
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- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.11, S.2575-2586
-
Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006)
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- Date
- 4.12.2006 12:12:22
- Source
- Information - Wissenschaft und Praxis. 57(2006) H.8, S.401-406
-
Thelwall, M.: Assessing web search engines : a webometric approach (2011)
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- Abstract
- Information Retrieval (IR) research typically evaluates search systems in terms of the standard precision, recall and F-measures to weight the relative importance of precision and recall (e.g. van Rijsbergen, 1979). All of these assess the extent to which the system returns good matches for a query. In contrast, webometric measures are designed specifically for web search engines and are designed to monitor changes in results over time and various aspects of the internal logic of the way in which search engine select the results to be returned. This chapter introduces a range of webometric measurements and illustrates them with case studies of Google, Bing and Yahoo! This is a very fertile area for simple and complex new investigations into search engine results.
- Pages
- S.135-145
-
Didegah, F.; Thelwall, M.: Determinants of research citation impact in nanoscience and nanotechnology (2013)
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- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.1055-1064
-
Levitt, J.M.; Thelwall, M.: Citation levels and collaboration within library and information science (2009)
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- Abstract
- Collaboration is a major research policy objective, but does it deliver higher quality research? This study uses citation analysis to examine the Web of Science (WoS) Information Science & Library Science subject category (IS&LS) to ascertain whether, in general, more highly cited articles are more highly collaborative than other articles. It consists of two investigations. The first investigation is a longitudinal comparison of the degree and proportion of collaboration in five strata of citation; it found that collaboration in the highest four citation strata (all in the most highly cited 22%) increased in unison over time, whereas collaboration in the lowest citation strata (un-cited articles) remained low and stable. Given that over 40% of the articles were un-cited, it seems important to take into account the differences found between un-cited articles and relatively highly cited articles when investigating collaboration in IS&LS. The second investigation compares collaboration for 35 influential information scientists; it found that their more highly cited articles on average were not more highly collaborative than their less highly cited articles. In summary, although collaborative research is conducive to high citation in general, collaboration has apparently not tended to be essential to the success of current and former elite information scientists.
- Date
- 22. 3.2009 12:43:51
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.434-442
-
Thelwall, M.: Web indicators for research evaluation : a practical guide (2016)
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- Abstract
- In recent years there has been an increasing demand for research evaluation within universities and other research-based organisations. In parallel, there has been an increasing recognition that traditional citation-based indicators are not able to reflect the societal impacts of research and are slow to appear. This has led to the creation of new indicators for different types of research impact as well as timelier indicators, mainly derived from the Web. These indicators have been called altmetrics, webometrics or just web metrics. This book describes and evaluates a range of web indicators for aspects of societal or scholarly impact, discusses the theory and practice of using and evaluating web indicators for research assessment and outlines practical strategies for obtaining many web indicators. In addition to describing impact indicators for traditional scholarly outputs, such as journal articles and monographs, it also covers indicators for videos, datasets, software and other non-standard scholarly outputs. The book describes strategies to analyse web indicators for individual publications as well as to compare the impacts of groups of publications. The practical part of the book includes descriptions of how to use the free software Webometric Analyst to gather and analyse web data. This book is written for information science undergraduate and Master?s students that are learning about alternative indicators or scientometrics as well as Ph.D. students and other researchers and practitioners using indicators to help assess research impact or to study scholarly communication.
- Footnote
- Rez. in: JASIST 69(2018) no.3, S.498-499 (Isidro F. Aguillo).
- Pages
- 170 S
-
Thelwall, M.; Li, X.; Barjak, F.; Robinson, S.: Assessing the international web connectivity of research groups (2008)
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- Source
- Aslib proceedings. 60(2008) no.1, S.18-31
-
Barjak, F.; Thelwall, M.: ¬A statistical analysis of the web presences of European life sciences research teams (2008)
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- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.4, S.628-643
-
Thelwall, M.; Sud, P.; Vis, F.: Commenting on YouTube videos : From guatemalan rock to El Big Bang (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.3, S.616-629
-
Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011)
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- Date
- 22. 1.2011 14:27:06
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.406-418
-
Thelwall, M.; Maflahi, N.: Guideline references and academic citations as evidence of the clinical value of health research (2016)
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- Date
- 19. 3.2016 12:22:00
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.4, S.960-966
-
Thelwall, M.; Sud, P.: Mendeley readership counts : an investigation of temporal and disciplinary differences (2016)
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- Date
- 16.11.2016 11:07:22
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.12, S.3036-3050
-
Thelwall, M.; Buckley, K.; Paltoglou, G.; Cai, D.; Kappas, A.: Sentiment strength detection in short informal text (2010)
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- Date
- 22. 1.2011 14:29:23
- Footnote
- Vgl. auch das Erratum in: Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.419
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2544-2558
-
Thelwall, M.; Thelwall, S.: ¬A thematic analysis of highly retweeted early COVID-19 tweets : consensus, information, dissent and lockdown life (2020)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 72(2020) no.6, S.945-962
-
Barjak, F.; Li, X.; Thelwall, M.: Which factors explain the Web impact of scientists' personal homepages? (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.2, S.200-211
-
Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007)
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- Abstract
- Although the analysis of citations in the scholarly literature is now an established and relatively well understood part of information science, not enough is known about citations that can be found on the Web. In particular, are there new Web types, and if so, are these trivial or potentially useful for studying or evaluating research communication? We sought evidence based upon a sample of 1,577 Web citations of the URLs or titles of research articles in 64 open-access journals from biology, physics, chemistry, and computing. Only 25% represented intellectual impact, from references of Web documents (23%) and other informal scholarly sources (2%). Many of the Web/URL citations were created for general or subject-specific navigation (45%) or for self-publicity (22%). Additional analyses revealed significant disciplinary differences in the types of Google unique Web/URL citations as well as some characteristics of scientific open-access publishing on the Web. We conclude that the Web provides access to a new and different type of citation information, one that may therefore enable us to measure different aspects of research, and the research process in particular; but to obtain good information, the different types should be separated.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1631-1644
-
Thelwall, M.; Sud, P.; Wilkinson, D.: Link and co-inlink network diagrams with URL citations or title mentions (2012)
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- Date
- 6. 4.2012 18:16:22
- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.4, S.805-816
-
Li, X.; Thelwall, M.; Kousha, K.: ¬The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication (2015)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 67(2015) no.6, S.614-635
-
Thelwall, M.: Are Mendeley reader counts high enough for research evaluations when articles are published? (2017)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 69(2017) no.2, S.174-183
