Search (25 results, page 1 of 2)

  • × author_ss:"Thelwall, M."
  1. Levitt, J.M.; Thelwall, M.: Citation levels and collaboration within library and information science (2009) 0.04
    0.03922542 = product of:
      0.07845084 = sum of:
        0.07845084 = sum of:
          0.028283674 = weight(_text_:library in 2734) [ClassicSimilarity], result of:
            0.028283674 = score(doc=2734,freq=4.0), product of:
              0.13768692 = queryWeight, product of:
                2.6293786 = idf(docFreq=8668, maxDocs=44218)
                0.052364815 = queryNorm
              0.2054202 = fieldWeight in 2734, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                2.6293786 = idf(docFreq=8668, maxDocs=44218)
                0.0390625 = fieldNorm(doc=2734)
          0.050167173 = weight(_text_:22 in 2734) [ClassicSimilarity], result of:
            0.050167173 = score(doc=2734,freq=4.0), product of:
              0.18337266 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.052364815 = queryNorm
              0.27358043 = fieldWeight in 2734, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0390625 = fieldNorm(doc=2734)
      0.5 = coord(1/2)
    
    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
  2. Didegah, F.; Thelwall, M.: Co-saved, co-tweeted, and co-cited networks (2018) 0.03
    0.033283874 = product of:
      0.06656775 = sum of:
        0.06656775 = sum of:
          0.023999494 = weight(_text_:library in 4291) [ClassicSimilarity], result of:
            0.023999494 = score(doc=4291,freq=2.0), product of:
              0.13768692 = queryWeight, product of:
                2.6293786 = idf(docFreq=8668, maxDocs=44218)
                0.052364815 = queryNorm
              0.17430481 = fieldWeight in 4291, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                2.6293786 = idf(docFreq=8668, maxDocs=44218)
                0.046875 = fieldNorm(doc=4291)
          0.042568255 = weight(_text_:22 in 4291) [ClassicSimilarity], result of:
            0.042568255 = score(doc=4291,freq=2.0), product of:
              0.18337266 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.052364815 = queryNorm
              0.23214069 = fieldWeight in 4291, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046875 = fieldNorm(doc=4291)
      0.5 = coord(1/2)
    
    Abstract
    Counts of tweets and Mendeley user libraries have been proposed as altmetric alternatives to citation counts for the impact assessment of articles. Although both have been investigated to discover whether they correlate with article citations, it is not known whether users tend to tweet or save (in Mendeley) the same kinds of articles that they cite. In response, this article compares pairs of articles that are tweeted, saved to a Mendeley library, or cited by the same user, but possibly a different user for each source. The study analyzes 1,131,318 articles published in 2012, with minimum tweeted (10), saved to Mendeley (100), and cited (10) thresholds. The results show surprisingly minor overall overlaps between the three phenomena. The importance of journals for Twitter and the presence of many bots at different levels of activity suggest that this site has little value for impact altmetrics. The moderate differences between patterns of saving and citation suggest that Mendeley can be used for some types of impact assessments, but sensitivity is needed for underlying differences.
    Date
    28. 7.2018 10:00:22
  3. Thelwall, M.; Sud, P.; Wilkinson, D.: Link and co-inlink network diagrams with URL citations or title mentions (2012) 0.03
    0.027736563 = product of:
      0.055473126 = sum of:
        0.055473126 = sum of:
          0.019999579 = weight(_text_:library in 57) [ClassicSimilarity], result of:
            0.019999579 = score(doc=57,freq=2.0), product of:
              0.13768692 = queryWeight, product of:
                2.6293786 = idf(docFreq=8668, maxDocs=44218)
                0.052364815 = queryNorm
              0.14525402 = fieldWeight in 57, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                2.6293786 = idf(docFreq=8668, maxDocs=44218)
                0.0390625 = fieldNorm(doc=57)
          0.035473548 = weight(_text_:22 in 57) [ClassicSimilarity], result of:
            0.035473548 = score(doc=57,freq=2.0), product of:
              0.18337266 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.052364815 = queryNorm
              0.19345059 = fieldWeight in 57, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0390625 = fieldNorm(doc=57)
      0.5 = coord(1/2)
    
    Abstract
    Webometric network analyses have been used to map the connectivity of groups of websites to identify clusters, important sites or overall structure. Such analyses have mainly been based upon hyperlink counts, the number of hyperlinks between a pair of websites, although some have used title mentions or URL citations instead. The ability to automatically gather hyperlink counts from Yahoo! ceased in April 2011 and the ability to manually gather such counts was due to cease by early 2012, creating a need for alternatives. This article assesses URL citations and title mentions as possible replacements for hyperlinks in both binary and weighted direct link and co-inlink network diagrams. It also assesses three different types of data for the network connections: hit count estimates, counts of matching URLs, and filtered counts of matching URLs. Results from analyses of U.S. library and information science departments and U.K. universities give evidence that metrics based upon URLs or titles can be appropriate replacements for metrics based upon hyperlinks for both binary and weighted networks, although filtered counts of matching URLs are necessary to give the best results for co-title mention and co-URL citation network diagrams.
    Date
    6. 4.2012 18:16:22
  4. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.01
    0.014189419 = product of:
      0.028378839 = sum of:
        0.028378839 = product of:
          0.056757677 = sum of:
            0.056757677 = weight(_text_:22 in 77) [ClassicSimilarity], result of:
              0.056757677 = score(doc=77,freq=2.0), product of:
                0.18337266 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052364815 = queryNorm
                0.30952093 = fieldWeight in 77, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=77)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    4.12.2006 12:12:22
  5. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011) 0.01
    0.010642064 = product of:
      0.021284128 = sum of:
        0.021284128 = product of:
          0.042568255 = sum of:
            0.042568255 = weight(_text_:22 in 4345) [ClassicSimilarity], result of:
              0.042568255 = score(doc=4345,freq=2.0), product of:
                0.18337266 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052364815 = queryNorm
                0.23214069 = fieldWeight in 4345, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4345)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    22. 1.2011 14:27:06
  6. Thelwall, M.; Maflahi, N.: Guideline references and academic citations as evidence of the clinical value of health research (2016) 0.01
    0.010642064 = product of:
      0.021284128 = sum of:
        0.021284128 = product of:
          0.042568255 = sum of:
            0.042568255 = weight(_text_:22 in 2856) [ClassicSimilarity], result of:
              0.042568255 = score(doc=2856,freq=2.0), product of:
                0.18337266 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052364815 = queryNorm
                0.23214069 = fieldWeight in 2856, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2856)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    19. 3.2016 12:22:00
  7. Thelwall, M.; Sud, P.: Mendeley readership counts : an investigation of temporal and disciplinary differences (2016) 0.01
    0.010642064 = product of:
      0.021284128 = sum of:
        0.021284128 = product of:
          0.042568255 = sum of:
            0.042568255 = weight(_text_:22 in 3211) [ClassicSimilarity], result of:
              0.042568255 = score(doc=3211,freq=2.0), product of:
                0.18337266 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052364815 = queryNorm
                0.23214069 = fieldWeight in 3211, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3211)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    16.11.2016 11:07:22
  8. Zuccala, A.; Thelwall, M.; Oppenheim, C.; Dhiensa, R.: Web intelligence analyses of digital libraries : a case study of the National electronic Library for Health (NeLH) (2007) 0.01
    0.009797753 = product of:
      0.019595506 = sum of:
        0.019595506 = product of:
          0.03919101 = sum of:
            0.03919101 = weight(_text_:library in 838) [ClassicSimilarity], result of:
              0.03919101 = score(doc=838,freq=12.0), product of:
                0.13768692 = queryWeight, product of:
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.052364815 = queryNorm
                0.28463858 = fieldWeight in 838, product of:
                  3.4641016 = tf(freq=12.0), with freq of:
                    12.0 = termFreq=12.0
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.03125 = fieldNorm(doc=838)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Purpose - The purpose of this paper is to explore the use of LexiURL as a Web intelligence tool for collecting and analysing links to digital libraries, focusing specifically on the National electronic Library for Health (NeLH). Design/methodology/approach - The Web intelligence techniques in this study are a combination of link analysis (web structure mining), web server log file analysis (web usage mining), and text analysis (web content mining), utilizing the power of commercial search engines and drawing upon the information science fields of bibliometrics and webometrics. LexiURL is a computer program designed to calculate summary statistics for lists of links or URLs. Its output is a series of standard reports, for example listing and counting all of the different domain names in the data. Findings - Link data, when analysed together with user transaction log files (i.e. Web referring domains) can provide insights into who is using a digital library and when, and who could be using the digital library if they are "surfing" a particular part of the Web; in this case any site that is linked to or colinked with the NeLH. This study found that the NeLH was embedded in a multifaceted Web context, including many governmental, educational, commercial and organisational sites, with the most interesting being sites from the.edu domain, representing American Universities. Not many links directed to the NeLH were followed on September 25, 2005 (the date of the log file analysis and link extraction analysis), which means that users who access the digital library have been arriving at the site via only a few select links, bookmarks and search engine searches, or non-electronic sources. Originality/value - A number of studies concerning digital library users have been carried out using log file analysis as a research tool. Log files focus on real-time user transactions; while LexiURL can be used to extract links and colinks associated with a digital library's growing Web network. This Web network is not recognized often enough, and can be a useful indication of where potential users are surfing, even if they have not yet specifically visited the NeLH site.
  9. Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007) 0.01
    0.008868387 = product of:
      0.017736774 = sum of:
        0.017736774 = product of:
          0.035473548 = sum of:
            0.035473548 = weight(_text_:22 in 586) [ClassicSimilarity], result of:
              0.035473548 = score(doc=586,freq=2.0), product of:
                0.18337266 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052364815 = queryNorm
                0.19345059 = fieldWeight in 586, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=586)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    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.
  10. Thelwall, M.; Buckley, K.; Paltoglou, G.; Cai, D.; Kappas, A.: Sentiment strength detection in short informal text (2010) 0.01
    0.008868387 = product of:
      0.017736774 = sum of:
        0.017736774 = product of:
          0.035473548 = sum of:
            0.035473548 = weight(_text_:22 in 4200) [ClassicSimilarity], result of:
              0.035473548 = score(doc=4200,freq=2.0), product of:
                0.18337266 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052364815 = queryNorm
                0.19345059 = fieldWeight in 4200, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4200)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    22. 1.2011 14:29:23
  11. Li, X.; Thelwall, M.; Kousha, K.: ¬The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication (2015) 0.01
    0.008868387 = product of:
      0.017736774 = sum of:
        0.017736774 = product of:
          0.035473548 = sum of:
            0.035473548 = weight(_text_:22 in 2593) [ClassicSimilarity], result of:
              0.035473548 = score(doc=2593,freq=2.0), product of:
                0.18337266 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052364815 = queryNorm
                0.19345059 = fieldWeight in 2593, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2593)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    20. 1.2015 18:30:22
  12. Thelwall, M.: Are Mendeley reader counts high enough for research evaluations when articles are published? (2017) 0.01
    0.008868387 = product of:
      0.017736774 = sum of:
        0.017736774 = product of:
          0.035473548 = sum of:
            0.035473548 = weight(_text_:22 in 3806) [ClassicSimilarity], result of:
              0.035473548 = score(doc=3806,freq=2.0), product of:
                0.18337266 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052364815 = queryNorm
                0.19345059 = fieldWeight in 3806, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3806)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    20. 1.2015 18:30:22
  13. Thelwall, M.; Thelwall, S.: ¬A thematic analysis of highly retweeted early COVID-19 tweets : consensus, information, dissent and lockdown life (2020) 0.01
    0.008868387 = product of:
      0.017736774 = sum of:
        0.017736774 = product of:
          0.035473548 = sum of:
            0.035473548 = weight(_text_:22 in 178) [ClassicSimilarity], result of:
              0.035473548 = score(doc=178,freq=2.0), product of:
                0.18337266 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052364815 = queryNorm
                0.19345059 = fieldWeight in 178, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=178)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    20. 1.2015 18:30:22
  14. 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) 0.01
    0.008868387 = product of:
      0.017736774 = sum of:
        0.017736774 = product of:
          0.035473548 = sum of:
            0.035473548 = weight(_text_:22 in 995) [ClassicSimilarity], result of:
              0.035473548 = score(doc=995,freq=2.0), product of:
                0.18337266 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052364815 = queryNorm
                0.19345059 = fieldWeight in 995, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=995)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    22. 6.2023 18:11:50
  15. Thelwall, M.: Bibliometrics to webometrics (2009) 0.01
    0.0069998526 = product of:
      0.013999705 = sum of:
        0.013999705 = product of:
          0.02799941 = sum of:
            0.02799941 = weight(_text_:library in 4239) [ClassicSimilarity], result of:
              0.02799941 = score(doc=4239,freq=2.0), product of:
                0.13768692 = queryWeight, product of:
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.052364815 = queryNorm
                0.20335563 = fieldWeight in 4239, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4239)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Bibliometrics has changed out of all recognition since 1958; becoming established as a field, being taught widely in library and information science schools, and being at the core of a number of science evaluation research groups around the world. This was all made possible by the work of Eugene Garfield and his Science Citation Index. This article reviews the distance that bibliometrics has travelled since 1958 by comparing early bibliometrics with current practice, and by giving an overview of a range of recent developments, such as patent analysis, national research evaluation exercises, visualization techniques, new applications, online citation indexes, and the creation of digital libraries. Webometrics, a modern, fast-growing offshoot of bibliometrics, is reviewed in detail. Finally, future prospects are discussed with regard to both bibliometrics and webometrics.
  16. Thelwall, M.: Webometrics (2009) 0.01
    0.0059998734 = product of:
      0.011999747 = sum of:
        0.011999747 = product of:
          0.023999494 = sum of:
            0.023999494 = weight(_text_:library in 3906) [ClassicSimilarity], result of:
              0.023999494 = score(doc=3906,freq=2.0), product of:
                0.13768692 = queryWeight, product of:
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.052364815 = queryNorm
                0.17430481 = fieldWeight in 3906, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3906)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Source
    Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
  17. Maflahi, N.; Thelwall, M.: When are readership counts as useful as citation counts? : Scopus versus Mendeley for LIS journals (2016) 0.01
    0.0059998734 = product of:
      0.011999747 = sum of:
        0.011999747 = product of:
          0.023999494 = sum of:
            0.023999494 = weight(_text_:library in 2495) [ClassicSimilarity], result of:
              0.023999494 = score(doc=2495,freq=2.0), product of:
                0.13768692 = queryWeight, product of:
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.052364815 = queryNorm
                0.17430481 = fieldWeight in 2495, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2495)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    In theory, articles can attract readers on the social reference sharing site Mendeley before they can attract citations, so Mendeley altmetrics could provide early indications of article impact. This article investigates the influence of time on the number of Mendeley readers of an article through a theoretical discussion and an investigation into the relationship between counts of readers of, and citations to, 4 general library and information science (LIS) journals. For this discipline, it takes about 7 years for articles to attract as many Scopus citations as Mendeley readers, and after this the Spearman correlation between readers and citers is stable at about 0.6 for all years. This suggests that Mendeley readership counts may be useful impact indicators for both newer and older articles. The lack of dates for individual Mendeley article readers and an unknown bias toward more recent articles mean that readership data should be normalized individually by year, however, before making any comparisons between articles published in different years.
  18. Vaughan, L.; Thelwall, M.: Scholarly use of the Web : what are the key inducers of links to journal Web sites? (2003) 0.00
    0.0049998946 = product of:
      0.009999789 = sum of:
        0.009999789 = product of:
          0.019999579 = sum of:
            0.019999579 = weight(_text_:library in 1236) [ClassicSimilarity], result of:
              0.019999579 = score(doc=1236,freq=2.0), product of:
                0.13768692 = queryWeight, product of:
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.052364815 = queryNorm
                0.14525402 = fieldWeight in 1236, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1236)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Web links have been studied by information scientists for at least six years but it is only in the past two that clear evidence has emerged to show that counts of links to scholarly Web spaces (universities and departments) can correlate significantly with research measures, giving some credence to their use for the investigation of scholarly communication. This paper reports an a study to investigate the factors that influence the creation of links to journal Web sites. An empirical approach is used: collecting data and testing for significant patterns. The specific questions addressed are whether site age and site content are inducers of links to a journal's Web site as measured by the ratio of link counts to Journal Impact Factors, two variables previously discovered to be related. A new methodology for data collection is also introduced that uses the Internet Archive to obtain an earliest known creation date for Web sites. The results show that both site age and site content are significant factors for the disciplines studied: library and information science, and law. Comparisons between the two fields also show disciplinary differences in Web site characteristics. Scholars and publishers should be particularly aware that richer content an a journal's Web site tends to generate links and thus the traffic to the site.
  19. Kousha, K.; Thelwall, M.: Assessing the impact of disciplinary research on teaching : an automatic analysis of online syllabuses (2008) 0.00
    0.0049998946 = product of:
      0.009999789 = sum of:
        0.009999789 = product of:
          0.019999579 = sum of:
            0.019999579 = weight(_text_:library in 2383) [ClassicSimilarity], result of:
              0.019999579 = score(doc=2383,freq=2.0), product of:
                0.13768692 = queryWeight, product of:
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.052364815 = queryNorm
                0.14525402 = fieldWeight in 2383, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2383)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    The impact of published academic research in the sciences and social sciences, when measured, is commonly estimated by counting citations from journal articles. The Web has now introduced new potential sources of quantitative data online that could be used to measure aspects of research impact. In this article we assess the extent to which citations from online syllabuses could be a valuable source of evidence about the educational utility of research. An analysis of online syllabus citations to 70,700 articles published in 2003 in the journals of 12 subjects indicates that online syllabus citations were sufficiently numerous to be a useful impact indictor in some social sciences, including political science and information and library science, but not in others, nor in any sciences. This result was consistent with current social science research having, in general, more educational value than current science research. Moreover, articles frequently cited in online syllabuses were not necessarily highly cited by other articles. Hence it seems that online syllabus citations provide a valuable additional source of evidence about the impact of journals, scholars, and research articles in some social sciences.
  20. Kousha, K.; Thelwall, M.: Google book search : citation analysis for social science and the humanities (2009) 0.00
    0.0049998946 = product of:
      0.009999789 = sum of:
        0.009999789 = product of:
          0.019999579 = sum of:
            0.019999579 = weight(_text_:library in 2946) [ClassicSimilarity], result of:
              0.019999579 = score(doc=2946,freq=2.0), product of:
                0.13768692 = queryWeight, product of:
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.052364815 = queryNorm
                0.14525402 = fieldWeight in 2946, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.6293786 = idf(docFreq=8668, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2946)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    In both the social sciences and the humanities, books and monographs play significant roles in research communication. The absence of citations from most books and monographs from the Thomson Reuters/Institute for Scientific Information databases (ISI) has been criticized, but attempts to include citations from or to books in the research evaluation of the social sciences and humanities have not led to widespread adoption. This article assesses whether Google Book Search (GBS) can partially fill this gap by comparing citations from books with citations from journal articles to journal articles in 10 science, social science, and humanities disciplines. Book citations were 31% to 212% of ISI citations and, hence, numerous enough to supplement ISI citations in the social sciences and humanities covered, but not in the sciences (3%-5%), except for computing (46%), due to numerous published conference proceedings. A case study was also made of all 1,923 articles in the 51 information science and library science ISI-indexed journals published in 2003. Within this set, highly book-cited articles tended to receive many ISI citations, indicating a significant relationship between the two types of citation data, but with important exceptions that point to the additional information provided by book citations. In summary, GBS is clearly a valuable new source of citation data for the social sciences and humanities. One practical implication is that book-oriented scholars should consult it for additional citations to their work when applying for promotion and tenure.