-
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
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- Journal of the Association for Information Science and Technology. 67(2016) no.12, S.3036-3050
-
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.; 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
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- Journal of the American Society for Information Science and Technology. 63(2012) no.4, S.805-816
-
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
-
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.; Sud, P.: ¬A comparison of methods for collecting web citation data for academic organizations (2011)
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- Abstract
- The primary webometric method for estimating the online impact of an organization is to count links to its website. Link counts have been available from commercial search engines for over a decade but this was set to end by early 2012 and so a replacement is needed. This article compares link counts to two alternative methods: URL citations and organization title mentions. New variations of these methods are also introduced. The three methods are compared against each other using Yahoo!. Two of the three methods (URL citations and organization title mentions) are also compared against each other using Bing. Evidence from a case study of 131 UK universities and 49 US Library and Information Science (LIS) departments suggests that Bing's Hit Count Estimates (HCEs) for popular title searches are not useful for webometric research but that Yahoo!'s HCEs for all three types of search and Bing's URL citation HCEs seem to be consistent. For exact URL counts the results of all three methods in Yahoo! and both methods in Bing are also consistent. Four types of accuracy factors are also introduced and defined: search engine coverage, search engine retrieval variation, search engine retrieval anomalies, and query polysemy.
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1488-1497
-
Kousha, K.; Thelwall, M.; Rezaie, S.: Assessing the citation impact of books : the role of Google Books, Google Scholar, and Scopus (2011)
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- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.11, S.2147-2164
-
Haustein, S.; Peters, I.; Sugimoto, C.R.; Thelwall, M.; Larivière, V.: Tweeting biomedicine : an analysis of tweets and citations in the biomedical literature (2014)
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- Journal of the Association for Information Science and Technology. 65(2014) no.4, S.656-669
-
Larivière, V.; Sugimoto, C.R.; Macaluso, B.; Milojevi´c, S.; Cronin, B.; Thelwall, M.: arXiv E-prints and the journal of record : an analysis of roles and relationships (2014)
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- Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1157-1169
-
Shema, H.; Bar-Ilan, J.; Thelwall, M.: How is research blogged? : A content analysis approach (2015)
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- Abstract
- Blogs that cite academic articles have emerged as a potential source of alternative impact metrics for the visibility of the blogged articles. Nevertheless, to evaluate more fully the value of blog citations, it is necessary to investigate whether research blogs focus on particular types of articles or give new perspectives on scientific discourse. Therefore, we studied the characteristics of peer-reviewed references in blogs and the typical content of blog posts to gain insight into bloggers' motivations. The sample consisted of 391 blog posts from 2010 to 2012 in Researchblogging.org's health category. The bloggers mostly cited recent research articles or reviews from top multidisciplinary and general medical journals. Using content analysis methods, we created a general classification scheme for blog post content with 10 major topic categories, each with several subcategories. The results suggest that health research bloggers rarely self-cite and that the vast majority of their blog posts (90%) include a general discussion of the issue covered in the article, with more than one quarter providing health-related advice based on the article(s) covered. These factors suggest a genuine attempt to engage with a wider, nonacademic audience. Nevertheless, almost 30% of the posts included some criticism of the issues being discussed.
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.6, S.1136-1149
-
Mohammadi, E.; Thelwall, M.; Haustein, S.; Larivière, V.: Who reads research articles? : an altmetrics analysis of Mendeley user categories (2015)
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- Journal of the Association for Information Science and Technology. 66(2015) no.9, S.1832-1846
-
Thelwall, M.; Klitkou, A.; Verbeek, A.; Stuart, D.; Vincent, C.: Policy-relevant Webometrics for individual scientific fields (2010)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1464-1475
-
Didegah, F.; Thelwall, M.: Determinants of research citation impact in nanoscience and nanotechnology (2013)
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- Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.1055-1064
-
Shema, H.; Bar-Ilan, J.; Thelwall, M.: Do blog citations correlate with a higher number of future citations? : Research blogs as a potential source for alternative metrics (2014)
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- Journal of the Association for Information Science and Technology. 65(2014) no.5, S.1018-1027
-
Maflahi, N.; Thelwall, M.: When are readership counts as useful as citation counts? : Scopus versus Mendeley for LIS journals (2016)
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- Journal of the Association for Information Science and Technology. 67(2016) no.1, S.191-199
-
Kousha, K.; Thelwall, M.: Can Amazon.com reviews help to assess the wider impacts of books? (2016)
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- Journal of the Association for Information Science and Technology. 67(2016) no.3, S.566-581
-
Thelwall, M.: Mendeley readership altmetrics for medical articles : an analysis of 45 fields (2016)
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- Journal of the Association for Information Science and Technology. 67(2016) no.8, S.1962-1972
-
Orduna-Malea, E.; Thelwall, M.; Kousha, K.: Web citations in patents : evidence of technological impact? (2017)
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- Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1967-1974
-
Thelwall, M.: ¬A comparison of link and URL citation counting (2011)
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- Source
- Aslib proceedings. 63(2011) no.4, S.419-425
