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  • × author_ss:"Thelwall, M."
  1. Kousha, K.; Thelwall, M.; Rezaie, S.: Can the impact of scholarly images be assessed online? : an exploratory study using image identification technology (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.9, S.1734-1744
  2. Thelwall, M.; Sud, P.: ¬A comparison of methods for collecting web citation data for academic organizations (2011) 0.00
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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
  3. Kousha, K.; Thelwall, M.; Rezaie, S.: Assessing the citation impact of books : the role of Google Books, Google Scholar, and Scopus (2011) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.11, S.2147-2164
  4. Haustein, S.; Peters, I.; Sugimoto, C.R.; Thelwall, M.; Larivière, V.: Tweeting biomedicine : an analysis of tweets and citations in the biomedical literature (2014) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.4, S.656-669
  5. 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) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1157-1169
  6. Shema, H.; Bar-Ilan, J.; Thelwall, M.: How is research blogged? : A content analysis approach (2015) 0.00
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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
  7. Mohammadi, E.; Thelwall, M.; Haustein, S.; Larivière, V.: Who reads research articles? : an altmetrics analysis of Mendeley user categories (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.9, S.1832-1846
  8. 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) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.11, S.2575-2586
  9. 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) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.7, S.594-602
  10. Price, L.; Thelwall, M.: ¬The clustering power of low frequency words in academic webs (2005) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.8, S.883-888
  11. Thelwall, M.: Bibliometrics to webometrics (2009) 0.00
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    Pages
    S.347-376
  12. Thelwall, M.; Stuart, D.: Web crawling ethics revisited : cost, privacy, and denial of service (2006) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.13, S.1771-1779
  13. Thelwall, M.: Directing students to new information types : a new role for Google in literature searches? (2005) 0.00
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    Pages
    S.159-166
  14. Vaughan, L.; Thelwall, M.: ¬A modelling approach to uncover hyperlink patterns : the case of Canadian universities (2005) 0.00
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    Source
    Information processing and management. 41(2005) no.2, S.347-360
  15. Payne, N.; Thelwall, M.: Mathematical models for academic webs : linear relationship or non-linear power law? (2005) 0.00
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    Source
    Information processing and management. 41(2005) no.6, S.1495-1510
  16. Thelwall, M.; Wouters, P.; Fry, J.: Information-centered research for large-scale analyses of new information sources (2008) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.9, S.1523-1527
  17. Thelwall, M.; Wilkinson, D.: Graph structure in three national academic Webs : power laws with anomalies (2003) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.8, S.706-712
  18. Vaughan, L.; Thelwall, M.: Search engine coverage bias : evidence and possible causes (2004) 0.00
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    Source
    Information processing and management. 40(2004) no.4, S.693-708
  19. Thelwall, M.; Wilkinson, D.: Finding similar academic Web sites with links, bibliometric couplings and colinks (2004) 0.00
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    Source
    Information processing and management. 40(2004) no.3, S.515-526
  20. Thelwall, M.: Text characteristics of English language university Web sites (2005) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.6, S.609-619