-
Thelwall, M.; Kousha, K.; Abdoli, M.; Stuart, E.; Makita, M.; Wilson, P.; Levitt, J.: Why are coauthored academic articles more cited : higher quality or larger audience? (2023)
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- Date
- 22. 6.2023 18:11:50
- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.7, S.791-810
-
Harries, G.; Wilkinson, D.; Price, L.; Fairclough, R.; Thelwall, M.: Hyperlinks as a data source for science mapping : making sense of it all (2005)
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- Source
- Journal of information science. 30(2005) no.5, S.436-
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Thelwall, M.; Wilkinson, D.; Uppal, S.: Data mining emotion in social network communication : gender differences in MySpace (2009)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.1, S.190-199
-
Thelwall, M.; Vaughan, L.: Webometrics : an introduction to the special issue (2004)
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- Source
- Journal of the American Society for Information Science and Technology. 55(2004) no.14, S.1213-1215
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Thelwall, M.: Web impact factors and search engine coverage (2000)
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- Source
- Journal of documentation. 56(2000) no.2, S.185-189
-
Thelwall, M.: Quantitative comparisons of search engine results (2008)
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- Abstract
- Search engines are normally used to find information or Web sites, but Webometric investigations use them for quantitative data such as the number of pages matching a query and the international spread of those pages. For this type of application, the accuracy of the hit count estimates and range of URLs in the full results are important. Here, we compare the applications programming interfaces of Google, Yahoo!, and Live Search for 1,587 single word searches. The hit count estimates were broadly consistent but with Yahoo! and Google, reporting 5-6 times more hits than Live Search. Yahoo! tended to return slightly more matching URLs than Google, with Live Search returning significantly fewer. Yahoo!'s result URLs included a significantly wider range of domains and sites than the other two, and there was little consistency between the three engines in the number of different domains. In contrast, the three engines were reasonably consistent in the number of different top-level domains represented in the result URLs, although Yahoo! tended to return the most. In conclusion, quantitative results from the three search engines are mostly consistent but with unexpected types of inconsistency that users should be aware of. Google is recommended for hit count estimates but Yahoo! is recommended for all other Webometric purposes.
- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.11, S.1702-1710
-
Kousha, K.; Thelwall, M.; Rezaie, S.: Can the impact of scholarly images be assessed online? : an exploratory study using image identification technology (2010)
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- Journal of the American Society for Information Science and Technology. 61(2010) no.9, S.1734-1744
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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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- 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
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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.; Harries, G.: ¬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 (2003)
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- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.7, S.594-602
-
Price, L.; Thelwall, M.: ¬The clustering power of low frequency words in academic webs (2005)
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- Journal of the American Society for Information Science and Technology. 56(2005) no.8, S.883-888
-
Thelwall, M.: Bibliometrics to webometrics (2009)
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- Pages
- S.347-376
-
Thelwall, M.; Stuart, D.: Web crawling ethics revisited : cost, privacy, and denial of service (2006)
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- Journal of the American Society for Information Science and Technology. 57(2006) no.13, S.1771-1779
-
Thelwall, M.: Directing students to new information types : a new role for Google in literature searches? (2005)
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- Pages
- S.159-166
-
Vaughan, L.; Thelwall, M.: ¬A modelling approach to uncover hyperlink patterns : the case of Canadian universities (2005)
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- Information processing and management. 41(2005) no.2, S.347-360
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Payne, N.; Thelwall, M.: Mathematical models for academic webs : linear relationship or non-linear power law? (2005)
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- Information processing and management. 41(2005) no.6, S.1495-1510
