Search (26 results, page 1 of 2)

  • × author_ss:"Thelwall, M."
  1. Abrizah, A.; Thelwall, M.: Can the impact of non-Western academic books be measured? : an investigation of Google Books and Google Scholar for Malaysia (2014) 0.05
    0.04579376 = product of:
      0.2289688 = sum of:
        0.2289688 = weight(_text_:books in 1548) [ClassicSimilarity], result of:
          0.2289688 = score(doc=1548,freq=24.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.9248898 = fieldWeight in 1548, product of:
              4.8989797 = tf(freq=24.0), with freq of:
                24.0 = termFreq=24.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1548)
      0.2 = coord(1/5)
    
    Abstract
    Citation indicators are increasingly used in book-based disciplines to support peer review in the evaluation of authors and to gauge the prestige of publishers. However, because global citation databases seem to offer weak coverage of books outside the West, it is not clear whether the influence of non-Western books can be assessed with citations. To investigate this, citations were extracted from Google Books and Google Scholar to 1,357 arts, humanities and social sciences (AHSS) books published by 5 university presses during 1961-2012 in 1 non-Western nation, Malaysia. A significant minority of the books (23% in Google Books and 37% in Google Scholar, 45% in total) had been cited, with a higher proportion cited if they were older or in English. The combination of Google Books and Google Scholar is therefore recommended, with some provisos, for non-Western countries seeking to differentiate between books with some impact and books with no impact, to identify the highly-cited works or to develop an indicator of academic publisher prestige.
    Object
    Google Books
  2. Kousha, K.; Thelwall, M.; Rezaie, S.: Assessing the citation impact of books : the role of Google Books, Google Scholar, and Scopus (2011) 0.04
    0.03739045 = product of:
      0.18695223 = sum of:
        0.18695223 = weight(_text_:books in 4920) [ClassicSimilarity], result of:
          0.18695223 = score(doc=4920,freq=16.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.75516933 = fieldWeight in 4920, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4920)
      0.2 = coord(1/5)
    
    Abstract
    Citation indictors are increasingly used in some subject areas to support peer review in the evaluation of researchers and departments. Nevertheless, traditional journal-based citation indexes may be inadequate for the citation impact assessment of book-based disciplines. This article examines whether online citations from Google Books and Google Scholar can provide alternative sources of citation evidence. To investigate this, we compared the citation counts to 1,000 books submitted to the 2008 U.K. Research Assessment Exercise (RAE) from Google Books and Google Scholar with Scopus citations across seven book-based disciplines (archaeology; law; politics and international studies; philosophy; sociology; history; and communication, cultural, and media studies). Google Books and Google Scholar citations to books were 1.4 and 3.2 times more common than were Scopus citations, and their medians were more than twice and three times as high as were Scopus median citations, respectively. This large number of citations is evidence that in book-oriented disciplines in the social sciences, arts, and humanities, online book citations may be sufficiently numerous to support peer review for research evaluation, at least in the United Kingdom.
    Object
    Google Books
  3. Kousha, K.; Thelwall, M.: Can Amazon.com reviews help to assess the wider impacts of books? (2016) 0.04
    0.03547169 = product of:
      0.17735845 = sum of:
        0.17735845 = weight(_text_:books in 2768) [ClassicSimilarity], result of:
          0.17735845 = score(doc=2768,freq=10.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.7164165 = fieldWeight in 2768, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.046875 = fieldNorm(doc=2768)
      0.2 = coord(1/5)
    
    Abstract
    Although citation counts are often used to evaluate the research impact of academic publications, they are problematic for books that aim for educational or cultural impact. To fill this gap, this article assesses whether a number of simple metrics derived from Amazon.com reviews of academic books could provide evidence of their impact. Based on a set of 2,739 academic monographs from 2008 and a set of 1,305 best-selling books in 15 Amazon.com academic subject categories, the existence of significant but low or moderate correlations between citations and numbers of reviews, combined with other evidence, suggests that online book reviews tend to reflect the wider popularity of a book rather than its academic impact, although there are substantial disciplinary differences. Metrics based on online reviews are therefore recommended for the evaluation of books that aim at a wide audience inside or outside academia when it is important to capture the broader impacts of educational or cultural activities and when they cannot be manipulated in advance of the evaluation.
  4. Kousha, K.; Thelwall, M.: ¬An automatic method for extracting citations from Google Books (2015) 0.03
    0.032381076 = product of:
      0.16190538 = sum of:
        0.16190538 = weight(_text_:books in 1658) [ClassicSimilarity], result of:
          0.16190538 = score(doc=1658,freq=12.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.6539958 = fieldWeight in 1658, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1658)
      0.2 = coord(1/5)
    
    Abstract
    Recent studies have shown that counting citations from books can help scholarly impact assessment and that Google Books (GB) is a useful source of such citation counts, despite its lack of a public citation index. Searching GB for citations produces approximate matches, however, and so its raw results need time-consuming human filtering. In response, this article introduces a method to automatically remove false and irrelevant matches from GB citation searches in addition to introducing refinements to a previous GB manual citation extraction method. The method was evaluated by manual checking of sampled GB results and comparing citations to about 14,500 monographs in the Thomson Reuters Book Citation Index (BKCI) against automatically extracted citations from GB across 24 subject areas. GB citations were 103% to 137% as numerous as BKCI citations in the humanities, except for tourism (72%) and linguistics (91%), 46% to 85% in social sciences, but only 8% to 53% in the sciences. In all cases, however, GB had substantially more citing books than did BKCI, with BKCI's results coming predominantly from journal articles. Moderate correlations between the GB and BKCI citation counts in social sciences and humanities, with most BKCI results coming from journal articles rather than books, suggests that they could measure the different aspects of impact, however.
    Object
    Google Books
  5. Kousha, K.; Thelwall, M.: ¬An automatic method for assessing the teaching impact of books from online academic syllabi (2016) 0.03
    0.032381076 = product of:
      0.16190538 = sum of:
        0.16190538 = weight(_text_:books in 3226) [ClassicSimilarity], result of:
          0.16190538 = score(doc=3226,freq=12.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.6539958 = fieldWeight in 3226, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3226)
      0.2 = coord(1/5)
    
    Abstract
    Scholars writing books that are widely used to support teaching in higher education may be undervalued because of a lack of evidence of teaching value. Although sales data may give credible evidence for textbooks, these data may poorly reflect educational uses of other types of books. As an alternative, this article proposes a method to search automatically for mentions of books in online academic course syllabi based on Bing searches for syllabi mentioning a given book, filtering out false matches through an extensive set of rules. The method had an accuracy of over 90% based on manual checks of a sample of 2,600 results from the initial Bing searches. Over one third of about 14,000 monographs checked had one or more academic syllabus mention, with more in the arts and humanities (56%) and social sciences (52%). Low but significant correlations between syllabus mentions and citations across most fields, except the social sciences, suggest that books tend to have different levels of impact for teaching and research. In conclusion, the automatic syllabus search method gives a new way to estimate the educational utility of books in a way that sales data and citation counts cannot.
  6. Thelwall, M.; Kousha, K.: Goodreads : a social network site for book readers (2017) 0.03
    0.032381076 = product of:
      0.16190538 = sum of:
        0.16190538 = weight(_text_:books in 3534) [ClassicSimilarity], result of:
          0.16190538 = score(doc=3534,freq=12.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.6539958 = fieldWeight in 3534, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3534)
      0.2 = coord(1/5)
    
    Abstract
    Goodreads is an Amazon-owned book-based social web site for members to share books, read, review books, rate books, and connect with other readers. Goodreads has tens of millions of book reviews, recommendations, and ratings that may help librarians and readers to select relevant books. This article describes a first investigation of the properties of Goodreads users, using a random sample of 50,000 members. The results suggest that about three quarters of members with a public profile are female, and that there is little difference between male and female users in patterns of behavior, except for females registering more books and rating them less positively. Goodreads librarians and super-users engage extensively with most features of the site. The absence of strong correlations between book-based and social usage statistics (e.g., numbers of friends, followers, books, reviews, and ratings) suggests that members choose their own individual balance of social and book activities and rarely ignore one at the expense of the other. Goodreads is therefore neither primarily a book-based website nor primarily a social network site but is a genuine hybrid, social navigation site.
  7. Kousha, K.; Thelwall, M.: Google book search : citation analysis for social science and the humanities (2009) 0.03
    0.029559745 = product of:
      0.14779872 = sum of:
        0.14779872 = weight(_text_:books in 2946) [ClassicSimilarity], result of:
          0.14779872 = score(doc=2946,freq=10.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.5970138 = fieldWeight in 2946, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2946)
      0.2 = coord(1/5)
    
    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.
    Object
    Google books
  8. Kousha, K.; Thelwall, M.; Abdoli, M.: Goodreads reviews to assess the wider impacts of books (2017) 0.03
    0.029559745 = product of:
      0.14779872 = sum of:
        0.14779872 = weight(_text_:books in 3768) [ClassicSimilarity], result of:
          0.14779872 = score(doc=3768,freq=10.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.5970138 = fieldWeight in 3768, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3768)
      0.2 = coord(1/5)
    
    Abstract
    Although peer-review and citation counts are commonly used to help assess the scholarly impact of published research, informal reader feedback might also be exploited to help assess the wider impacts of books, such as their educational or cultural value. The social website Goodreads seems to be a reasonable source for this purpose because it includes a large number of book reviews and ratings by many users inside and outside of academia. To check this, Goodreads book metrics were compared with different book-based impact indicators for 15,928 academic books across broad fields. Goodreads engagements were numerous enough in the arts (85% of books had at least one), humanities (80%), and social sciences (67%) for use as a source of impact evidence. Low and moderate correlations between Goodreads book metrics and scholarly or non-scholarly indicators suggest that reader feedback in Goodreads reflects the many purposes of books rather than a single type of impact. Although Goodreads book metrics can be manipulated, they could be used guardedly by academics, authors, and publishers in evaluations.
  9. Thelwall, M.; Bourrier, M.K.: ¬The reading background of Goodreads book club members : a female fiction canon? (2019) 0.03
    0.02643904 = product of:
      0.1321952 = sum of:
        0.1321952 = weight(_text_:books in 5461) [ClassicSimilarity], result of:
          0.1321952 = score(doc=5461,freq=8.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.5339854 = fieldWeight in 5461, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5461)
      0.2 = coord(1/5)
    
    Abstract
    Purpose Despite the social, educational and therapeutic benefits of book clubs, little is known about which books participants are likely to have read. In response, the purpose of this paper is to investigate the public bookshelves of those that have joined a group within the Goodreads social network site. Design/methodology/approach Books listed as read by members of 50 large English-language Goodreads groups - with a genre focus or other theme - were compiled by author and title. Findings Recent and youth-oriented fiction dominate the 50 books most read by book club members, whilst almost half are works of literature frequently taught at the secondary and postsecondary level (literary classics). Whilst J.K. Rowling is almost ubiquitous (at least 63 per cent as frequently listed as other authors in any group, including groups for other genres), most authors, including Shakespeare (15 per cent), Goulding (6 per cent) and Hemmingway (9 per cent), are little read by some groups. Nor are individual recent literary prize winners or works in languages other than English frequently read. Research limitations/implications Although these results are derived from a single popular website, knowing more about what book club members are likely to have read should help participants, organisers and moderators. For example, recent literary prize winners might be a good choice, given that few members may have read them. Originality/value This is the first large scale study of book group members' reading patterns. Whilst typical reading is likely to vary by group theme and average age, there seems to be a mainly female canon of about 14 authors and 19 books that Goodreads book club members are likely to have read.
  10. Thelwall, M.: Web indicators for research evaluation : a practical guide (2016) 0.02
    0.018695224 = product of:
      0.09347612 = sum of:
        0.09347612 = weight(_text_:books in 3384) [ClassicSimilarity], result of:
          0.09347612 = score(doc=3384,freq=4.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.37758467 = fieldWeight in 3384, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3384)
      0.2 = coord(1/5)
    
    LCSH
    Electronic books
    Subject
    Electronic books
  11. Kousha, K.; Thelwall, M.: News stories as evidence for research? : BBC citations from articles, Books, and Wikipedia (2017) 0.02
    0.018695224 = product of:
      0.09347612 = sum of:
        0.09347612 = weight(_text_:books in 3760) [ClassicSimilarity], result of:
          0.09347612 = score(doc=3760,freq=4.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.37758467 = fieldWeight in 3760, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3760)
      0.2 = coord(1/5)
    
    Abstract
    Although news stories target the general public and are sometimes inaccurate, they can serve as sources of real-world information for researchers. This article investigates the extent to which academics exploit journalism using content and citation analyses of online BBC News stories cited by Scopus articles. A total of 27,234 Scopus-indexed publications have cited at least one BBC News story, with a steady annual increase. Citations from the arts and humanities (2.8% of publications in 2015) and social sciences (1.5%) were more likely than citations from medicine (0.1%) and science (<0.1%). Surprisingly, half of the sampled Scopus-cited science and technology (53%) and medicine and health (47%) stories were based on academic research, rather than otherwise unpublished information, suggesting that researchers have chosen a lower-quality secondary source for their citations. Nevertheless, the BBC News stories that were most frequently cited by Scopus, Google Books, and Wikipedia introduced new information from many different topics, including politics, business, economics, statistics, and reports about events. Thus, news stories are mediating real-world knowledge into the academic domain, a potential cause for concern.
  12. Thelwall, M.: Book genre and author gender : romance > paranormal-romance to autobiography > memoir (2017) 0.02
    0.015863424 = product of:
      0.079317115 = sum of:
        0.079317115 = weight(_text_:books in 3598) [ClassicSimilarity], result of:
          0.079317115 = score(doc=3598,freq=2.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.3203912 = fieldWeight in 3598, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.046875 = fieldNorm(doc=3598)
      0.2 = coord(1/5)
    
    Abstract
    Although gender differences are known to exist in the publishing industry and in reader preferences, there is little public systematic data about them. This article uses evidence from the book-based social website Goodreads to provide a large scale analysis of 50 major English book genres based on author genders. The results show gender differences in authorship in almost all categories and gender differences the level of interest in, and ratings of, books in a minority of categories. Perhaps surprisingly in this context, there is not a clear gender-based relationship between the success of an author and their prevalence within a genre. The unexpected almost universal authorship gender differences should give new impetus to investigations of the importance of gender in fiction and the success of minority genders in some genres should encourage publishers and librarians to take their work seriously, except perhaps for most male-authored chick-lit.
  13. Kousha, K.; Thelwall, M.: Are wikipedia citations important evidence of the impact of scholarly articles and books? (2017) 0.01
    0.01321952 = product of:
      0.0660976 = sum of:
        0.0660976 = weight(_text_:books in 3440) [ClassicSimilarity], result of:
          0.0660976 = score(doc=3440,freq=2.0), product of:
            0.24756333 = queryWeight, product of:
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.051222645 = queryNorm
            0.2669927 = fieldWeight in 3440, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.8330836 = idf(docFreq=956, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3440)
      0.2 = coord(1/5)
    
  14. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.01
    0.011103938 = product of:
      0.055519693 = sum of:
        0.055519693 = weight(_text_:22 in 77) [ClassicSimilarity], result of:
          0.055519693 = score(doc=77,freq=2.0), product of:
            0.17937298 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.051222645 = 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)
      0.2 = coord(1/5)
    
    Date
    4.12.2006 12:12:22
  15. Levitt, J.M.; Thelwall, M.: Citation levels and collaboration within library and information science (2009) 0.01
    0.009814587 = product of:
      0.049072936 = sum of:
        0.049072936 = weight(_text_:22 in 2734) [ClassicSimilarity], result of:
          0.049072936 = score(doc=2734,freq=4.0), product of:
            0.17937298 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.051222645 = 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)
      0.2 = coord(1/5)
    
    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
  16. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011) 0.01
    0.0083279535 = product of:
      0.041639768 = sum of:
        0.041639768 = weight(_text_:22 in 4345) [ClassicSimilarity], result of:
          0.041639768 = score(doc=4345,freq=2.0), product of:
            0.17937298 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.051222645 = 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)
      0.2 = coord(1/5)
    
    Date
    22. 1.2011 14:27:06
  17. Thelwall, M.; Maflahi, N.: Guideline references and academic citations as evidence of the clinical value of health research (2016) 0.01
    0.0083279535 = product of:
      0.041639768 = sum of:
        0.041639768 = weight(_text_:22 in 2856) [ClassicSimilarity], result of:
          0.041639768 = score(doc=2856,freq=2.0), product of:
            0.17937298 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.051222645 = 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)
      0.2 = coord(1/5)
    
    Date
    19. 3.2016 12:22:00
  18. Thelwall, M.; Sud, P.: Mendeley readership counts : an investigation of temporal and disciplinary differences (2016) 0.01
    0.0083279535 = product of:
      0.041639768 = sum of:
        0.041639768 = weight(_text_:22 in 3211) [ClassicSimilarity], result of:
          0.041639768 = score(doc=3211,freq=2.0), product of:
            0.17937298 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.051222645 = 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)
      0.2 = coord(1/5)
    
    Date
    16.11.2016 11:07:22
  19. Didegah, F.; Thelwall, M.: Co-saved, co-tweeted, and co-cited networks (2018) 0.01
    0.0083279535 = product of:
      0.041639768 = sum of:
        0.041639768 = weight(_text_:22 in 4291) [ClassicSimilarity], result of:
          0.041639768 = score(doc=4291,freq=2.0), product of:
            0.17937298 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.051222645 = 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)
      0.2 = coord(1/5)
    
    Date
    28. 7.2018 10:00:22
  20. Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007) 0.01
    0.006939962 = product of:
      0.03469981 = sum of:
        0.03469981 = weight(_text_:22 in 586) [ClassicSimilarity], result of:
          0.03469981 = score(doc=586,freq=2.0), product of:
            0.17937298 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.051222645 = 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)
      0.2 = coord(1/5)
    
    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.