Search (19 results, page 1 of 1)

  • × author_ss:"Kousha, K."
  • × year_i:[2010 TO 2020}
  1. Kousha, K.; Thelwall, M.: Disseminating research with web CV hyperlinks (2014) 0.01
    0.0068217227 = product of:
      0.047752056 = sum of:
        0.042707227 = weight(_text_:web in 1331) [ClassicSimilarity], result of:
          0.042707227 = score(doc=1331,freq=12.0), product of:
            0.09670874 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.029633347 = queryNorm
            0.4416067 = fieldWeight in 1331, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1331)
        0.0050448296 = weight(_text_:information in 1331) [ClassicSimilarity], result of:
          0.0050448296 = score(doc=1331,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.09697737 = fieldWeight in 1331, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1331)
      0.14285715 = coord(2/14)
    
    Abstract
    Some curricula vitae (web CVs) of academics on the web, including homepages and publication lists, link to open-access (OA) articles, resources, abstracts in publishers' websites, or academic discussions, helping to disseminate research. To assess how common such practices are and whether they vary by discipline, gender, and country, the authors conducted a large-scale e-mail survey of astronomy and astrophysics, public health, environmental engineering, and philosophy across 15 European countries and analyzed hyperlinks from web CVs of academics. About 60% of the 2,154 survey responses reported having a web CV or something similar, and there were differences between disciplines, genders, and countries. A follow-up outlink analysis of 2,700 web CVs found that a third had at least one outlink to an OA target, typically a public eprint archive or an individual self-archived file. This proportion was considerably higher in astronomy (48%) and philosophy (37%) than in environmental engineering (29%) and public health (21%). There were also differences in linking to publishers' websites, resources, and discussions. Perhaps most important, however, the amount of linking to OA publications seems to be much lower than allowed by publishers and journals, suggesting that many opportunities for disseminating full-text research online are being missed, especially in disciplines without established repositories. Moreover, few academics seem to be exploiting their CVs to link to discussions, resources, or article abstracts, which seems to be another missed opportunity for publicizing research.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1615-1626
  2. Kousha, K.; Thelwall, M.: Can Amazon.com reviews help to assess the wider impacts of books? (2016) 0.01
    0.006374111 = product of:
      0.044618774 = sum of:
        0.03856498 = weight(_text_:wide in 2768) [ClassicSimilarity], result of:
          0.03856498 = score(doc=2768,freq=2.0), product of:
            0.1312982 = queryWeight, product of:
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.029633347 = queryNorm
            0.29372054 = fieldWeight in 2768, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.046875 = fieldNorm(doc=2768)
        0.0060537956 = weight(_text_:information in 2768) [ClassicSimilarity], result of:
          0.0060537956 = score(doc=2768,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.116372846 = fieldWeight in 2768, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=2768)
      0.14285715 = coord(2/14)
    
    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.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.3, S.566-581
  3. Kousha, K.; Thelwall, M.; Abdoli, M.: ¬The role of online videos in research communication : a content analysis of YouTube videos cited in academic publications (2012) 0.01
    0.005311759 = product of:
      0.037182312 = sum of:
        0.032137483 = weight(_text_:wide in 382) [ClassicSimilarity], result of:
          0.032137483 = score(doc=382,freq=2.0), product of:
            0.1312982 = queryWeight, product of:
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.029633347 = queryNorm
            0.24476713 = fieldWeight in 382, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.0390625 = fieldNorm(doc=382)
        0.0050448296 = weight(_text_:information in 382) [ClassicSimilarity], result of:
          0.0050448296 = score(doc=382,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.09697737 = fieldWeight in 382, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=382)
      0.14285715 = coord(2/14)
    
    Abstract
    Although there is some evidence that online videos are increasingly used by academics for informal scholarly communication and teaching, the extent to which they are used in published academic research is unknown. This article explores the extent to which YouTube videos are cited in academic publications and whether there are significant broad disciplinary differences in this practice. To investigate, we extracted the URL citations to YouTube videos from academic publications indexed by Scopus. A total of 1,808 Scopus publications cited at least one YouTube video, and there was a steady upward growth in citing online videos within scholarly publications from 2006 to 2011, with YouTube citations being most common within arts and humanities (0.3%) and the social sciences (0.2%). A content analysis of 551 YouTube videos cited by research articles indicated that in science (78%) and in medicine and health sciences (77%), over three fourths of the cited videos had either direct scientific (e.g., laboratory experiments) or scientific-related contents (e.g., academic lectures or education) whereas in the arts and humanities, about 80% of the YouTube videos had art, culture, or history themes, and in the social sciences, about 63% of the videos were related to news, politics, advertisements, and documentaries. This shows both the disciplinary differences and the wide variety of innovative research communication uses found for videos within the different subject areas.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.9, S.1710-1727
  4. Orduna-Malea, E.; Thelwall, M.; Kousha, K.: Web citations in patents : evidence of technological impact? (2017) 0.01
    0.0050917473 = product of:
      0.03564223 = sum of:
        0.029588435 = weight(_text_:web in 3764) [ClassicSimilarity], result of:
          0.029588435 = score(doc=3764,freq=4.0), product of:
            0.09670874 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.029633347 = queryNorm
            0.3059541 = fieldWeight in 3764, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=3764)
        0.0060537956 = weight(_text_:information in 3764) [ClassicSimilarity], result of:
          0.0060537956 = score(doc=3764,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.116372846 = fieldWeight in 3764, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=3764)
      0.14285715 = coord(2/14)
    
    Abstract
    Patents sometimes cite webpages either as general background to the problem being addressed or to identify prior publications that limit the scope of the patent granted. Counts of the number of patents citing an organization's website may therefore provide an indicator of its technological capacity or relevance. This article introduces methods to extract URL citations from patents and evaluates the usefulness of counts of patent web citations as a technology indicator. An analysis of patents citing 200 US universities or 177 UK universities found computer science and engineering departments to be frequently cited, as well as research-related webpages, such as Wikipedia, YouTube, or the Internet Archive. Overall, however, patent URL citations seem to be frequent enough to be useful for ranking major US and the top few UK universities if popular hosted subdomains are filtered out, but the hit count estimates on the first search engine results page should not be relied upon for accuracy.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1967-1974
  5. 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
    0.0035099457 = product of:
      0.02456962 = sum of:
        0.017435152 = weight(_text_:web in 3966) [ClassicSimilarity], result of:
          0.017435152 = score(doc=3966,freq=2.0), product of:
            0.09670874 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.029633347 = queryNorm
            0.18028519 = fieldWeight in 3966, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3966)
        0.0071344664 = weight(_text_:information in 3966) [ClassicSimilarity], result of:
          0.0071344664 = score(doc=3966,freq=4.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.13714671 = fieldWeight in 3966, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3966)
      0.14285715 = coord(2/14)
    
    Abstract
    The web contains a huge number of digital pictures. For scholars publishing such images it is important to know how well used their images are, but no method seems to have been developed for monitoring the value of academic images. In particular, can the impact of scientific or artistic images be assessed through identifying images copied or reused on the Internet? This article explores a case study of 260 NASA images to investigate whether the TinEye search engine could theoretically help to provide this information. The results show that the selected pictures had a median of 11 online copies each. However, a classification of 210 of these copies reveals that only 1.4% were explicitly used in academic publications, reflecting research impact, and the majority of the NASA pictures were used for informal scholarly (or educational) communication (37%). Additional analyses of world famous paintings and scientific images about pathology and molecular structures suggest that image contents are important for the type and extent of image use. Although it is reasonable to use statistics derived from TinEye for assessing image reuse value, the extent of its image indexing is not known.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.9, S.1734-1744
  6. Thelwall, M.; Kousha, K.: Goodreads : a social network site for book readers (2017) 0.00
    0.003211426 = product of:
      0.022479981 = sum of:
        0.017435152 = weight(_text_:web in 3534) [ClassicSimilarity], result of:
          0.017435152 = score(doc=3534,freq=2.0), product of:
            0.09670874 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.029633347 = queryNorm
            0.18028519 = fieldWeight in 3534, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3534)
        0.0050448296 = weight(_text_:information in 3534) [ClassicSimilarity], result of:
          0.0050448296 = score(doc=3534,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.09697737 = fieldWeight in 3534, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3534)
      0.14285715 = coord(2/14)
    
    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.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.4, S.972-983
  7. Li, X.; Thelwall, M.; Kousha, K.: ¬The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication (2015) 0.00
    0.001676621 = product of:
      0.011736346 = sum of:
        0.0050448296 = weight(_text_:information in 2593) [ClassicSimilarity], result of:
          0.0050448296 = score(doc=2593,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.09697737 = fieldWeight in 2593, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2593)
        0.0066915164 = product of:
          0.020074548 = sum of:
            0.020074548 = weight(_text_:22 in 2593) [ClassicSimilarity], result of:
              0.020074548 = score(doc=2593,freq=2.0), product of:
                0.103770934 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.029633347 = 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)
          0.33333334 = coord(1/3)
      0.14285715 = coord(2/14)
    
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 67(2015) no.6, S.614-635
  8. Kousha, K.; Thelwall, M.: News stories as evidence for research? : BBC citations from articles, Books, and Wikipedia (2017) 0.00
    7.2068995E-4 = product of:
      0.010089659 = sum of:
        0.010089659 = weight(_text_:information in 3760) [ClassicSimilarity], result of:
          0.010089659 = score(doc=3760,freq=8.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.19395474 = fieldWeight in 3760, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3760)
      0.071428575 = coord(1/14)
    
    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.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.2017-2028
  9. Thelwall, M.; Kousha, K.: SlideShare presentations, citations, users, and trends : a professional site with academic and educational uses (2017) 0.00
    6.241359E-4 = product of:
      0.008737902 = sum of:
        0.008737902 = weight(_text_:information in 3766) [ClassicSimilarity], result of:
          0.008737902 = score(doc=3766,freq=6.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.16796975 = fieldWeight in 3766, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3766)
      0.071428575 = coord(1/14)
    
    Abstract
    SlideShare is a free social website that aims to help users distribute and find presentations. Owned by LinkedIn since 2012, it targets a professional audience but may give value to scholarship through creating a long-term record of the content of talks. This article tests this hypothesis by analyzing sets of general and scholarly related SlideShare documents using content and citation analysis and popularity statistics reported on the site. The results suggest that academics, students, and teachers are a minority of SlideShare uploaders, especially since 2010, with most documents not being directly related to scholarship or teaching. About two thirds of uploaded SlideShare documents are presentation slides, with the remainder often being files associated with presentations or video recordings of talks. SlideShare is therefore a presentation-centered site with a predominantly professional user base. Although a minority of the uploaded SlideShare documents are cited by, or cite, academic publications, probably too few articles are cited by SlideShare to consider extracting SlideShare citations for research evaluation. Nevertheless, scholars should consider SlideShare to be a potential source of academic and nonacademic information, particularly in library and information science, education, and business.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1989-2003
  10. Thelwall, M.; Kousha, K.: Academia.edu : Social network or Academic Network? (2014) 0.00
    5.0960475E-4 = product of:
      0.0071344664 = sum of:
        0.0071344664 = weight(_text_:information in 1234) [ClassicSimilarity], result of:
          0.0071344664 = score(doc=1234,freq=4.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.13714671 = fieldWeight in 1234, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1234)
      0.071428575 = coord(1/14)
    
    Abstract
    Academic social network sites Academia.edu and ResearchGate, and reference sharing sites Mendeley, Bibsonomy, Zotero, and CiteULike, give scholars the ability to publicize their research outputs and connect with each other. With millions of users, these are a significant addition to the scholarly communication and academic information-seeking eco-structure. There is thus a need to understand the role that they play and the changes, if any, that they can make to the dynamics of academic careers. This article investigates attributes of philosophy scholars on Academia.edu, introducing a median-based, time-normalizing method to adjust for time delays in joining the site. In comparison to students, faculty tend to attract more profile views but female philosophers did not attract more profile views than did males, suggesting that academic capital drives philosophy uses of the site more than does friendship and networking. Secondary analyses of law, history, and computer science confirmed the faculty advantage (in terms of higher profile views) except for females in law and females in computer science. There was also a female advantage for both faculty and students in law and computer science as well as for history students. Hence, Academia.edu overall seems to reflect a hybrid of scholarly norms (the faculty advantage) and a female advantage that is suggestive of general social networking norms. Finally, traditional bibliometric measures did not correlate with any Academia.edu metrics for philosophers, perhaps because more senior academics use the site less extensively or because of the range informal scholarly activities that cannot be measured by bibliometric methods.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.4, S.721-731
  11. Mohammadi, E.; Thelwall, M.; Kousha, K.: Can Mendeley bookmarks reflect readership? : a survey of user motivations (2016) 0.00
    5.0960475E-4 = product of:
      0.0071344664 = sum of:
        0.0071344664 = weight(_text_:information in 2897) [ClassicSimilarity], result of:
          0.0071344664 = score(doc=2897,freq=4.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.13714671 = fieldWeight in 2897, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2897)
      0.071428575 = coord(1/14)
    
    Abstract
    Although Mendeley bookmarking counts appear to correlate moderately with conventional citation metrics, it is not known whether academic publications are bookmarked in Mendeley in order to be read or not. Without this information, it is not possible to give a confident interpretation of altmetrics derived from Mendeley. In response, a survey of 860 Mendeley users shows that it is reasonable to use Mendeley bookmarking counts as an indication of readership because most (55%) users with a Mendeley library had read or intended to read at least half of their bookmarked publications. This was true across all broad areas of scholarship except for the arts and humanities (42%). About 85% of the respondents also declared that they bookmarked articles in Mendeley to cite them in their publications, but some also bookmark articles for use in professional (50%), teaching (25%), and educational activities (13%). Of course, it is likely that most readers do not record articles in Mendeley and so these data do not represent all readers. In conclusion, Mendeley bookmark counts seem to be indicators of readership leading to a combination of scholarly impact and wider professional impact.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.5, S.1198-1209
  12. Thelwall, M.; Kousha, K.: ResearchGate: Disseminating, communicating, and measuring scholarship? (2015) 0.00
    4.32414E-4 = product of:
      0.0060537956 = sum of:
        0.0060537956 = weight(_text_:information in 1813) [ClassicSimilarity], result of:
          0.0060537956 = score(doc=1813,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.116372846 = fieldWeight in 1813, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=1813)
      0.071428575 = coord(1/14)
    
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.5, S.876-889
  13. Kousha, K.; Thelwall, M.; Rezaie, S.: Assessing the citation impact of books : the role of Google Books, Google Scholar, and Scopus (2011) 0.00
    3.6034497E-4 = product of:
      0.0050448296 = sum of:
        0.0050448296 = weight(_text_:information in 4920) [ClassicSimilarity], result of:
          0.0050448296 = score(doc=4920,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.09697737 = fieldWeight in 4920, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4920)
      0.071428575 = coord(1/14)
    
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.11, S.2147-2164
  14. Kousha, K.; Thelwall, M.: ¬An automatic method for extracting citations from Google Books (2015) 0.00
    3.6034497E-4 = product of:
      0.0050448296 = sum of:
        0.0050448296 = weight(_text_:information in 1658) [ClassicSimilarity], result of:
          0.0050448296 = score(doc=1658,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.09697737 = fieldWeight in 1658, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1658)
      0.071428575 = coord(1/14)
    
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.2, S.309-320
  15. Kousha, K.; Thelwall, M.: ¬An automatic method for assessing the teaching impact of books from online academic syllabi (2016) 0.00
    3.6034497E-4 = product of:
      0.0050448296 = sum of:
        0.0050448296 = weight(_text_:information in 3226) [ClassicSimilarity], result of:
          0.0050448296 = score(doc=3226,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.09697737 = fieldWeight in 3226, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3226)
      0.071428575 = coord(1/14)
    
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.12, S.2993-3007
  16. Kousha, K.; Thelwall, M.: Patent citation analysis with Google (2017) 0.00
    3.6034497E-4 = product of:
      0.0050448296 = sum of:
        0.0050448296 = weight(_text_:information in 3317) [ClassicSimilarity], result of:
          0.0050448296 = score(doc=3317,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.09697737 = fieldWeight in 3317, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3317)
      0.071428575 = coord(1/14)
    
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.48-61
  17. Thelwall, M.; Kousha, K.: ResearchGate articles : age, discipline, audience size, and impact (2017) 0.00
    3.6034497E-4 = product of:
      0.0050448296 = sum of:
        0.0050448296 = weight(_text_:information in 3349) [ClassicSimilarity], result of:
          0.0050448296 = score(doc=3349,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.09697737 = fieldWeight in 3349, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3349)
      0.071428575 = coord(1/14)
    
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.2, S.468-479
  18. Kousha, K.; Thelwall, M.: Are wikipedia citations important evidence of the impact of scholarly articles and books? (2017) 0.00
    3.6034497E-4 = product of:
      0.0050448296 = sum of:
        0.0050448296 = weight(_text_:information in 3440) [ClassicSimilarity], result of:
          0.0050448296 = score(doc=3440,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.09697737 = fieldWeight in 3440, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3440)
      0.071428575 = coord(1/14)
    
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.3, S.762-779
  19. Kousha, K.; Thelwall, M.; Abdoli, M.: Goodreads reviews to assess the wider impacts of books (2017) 0.00
    3.6034497E-4 = product of:
      0.0050448296 = sum of:
        0.0050448296 = weight(_text_:information in 3768) [ClassicSimilarity], result of:
          0.0050448296 = score(doc=3768,freq=2.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.09697737 = fieldWeight in 3768, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3768)
      0.071428575 = coord(1/14)
    
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.2004-2016