Search (3 results, page 1 of 1)

  • × author_ss:"Abdoli, M."
  • × author_ss:"Thelwall, M."
  1. 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) 0.02 
    0.01933244 = product of:
  0.03866488 = sum of:
    0.03866488 = product of:
      0.07732976 = sum of:
        0.07732976 = weight(_text_:news in 382) [ClassicSimilarity], result of:
          0.07732976 = score(doc=382,freq=2.0), product of:
            0.26705483 = queryWeight, product of:
              5.2416887 = idf(docFreq=635, maxDocs=44218)
              0.05094824 = queryNorm
            0.28956512 = fieldWeight in 382, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.2416887 = idf(docFreq=635, maxDocs=44218)
              0.0390625 = fieldNorm(doc=382)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    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.
  2. Thelwall, M.; Kousha, K.; Abdoli, M.; Stuart, E.; Makita, M.; Wilson, P.; Levitt, J.: Do altmetric scores reflect article quality? : evidence from the UK Research Excellence Framework 2021 (2023) 0.02 
    0.01933244 = product of:
  0.03866488 = sum of:
    0.03866488 = product of:
      0.07732976 = sum of:
        0.07732976 = weight(_text_:news in 947) [ClassicSimilarity], result of:
          0.07732976 = score(doc=947,freq=2.0), product of:
            0.26705483 = queryWeight, product of:
              5.2416887 = idf(docFreq=635, maxDocs=44218)
              0.05094824 = queryNorm
            0.28956512 = fieldWeight in 947, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.2416887 = idf(docFreq=635, maxDocs=44218)
              0.0390625 = fieldNorm(doc=947)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    Altmetrics are web-based quantitative impact or attention indicators for academic articles that have been proposed to supplement citation counts. This article reports the first assessment of the extent to which mature altmetrics from Altmetric.com and Mendeley associate with individual article quality scores. It exploits expert norm-referenced peer review scores from the UK Research Excellence Framework 2021 for 67,030+ journal articles in all fields 2014-2017/2018, split into 34 broadly field-based Units of Assessment (UoAs). Altmetrics correlated more strongly with research quality than previously found, although less strongly than raw and field normalized Scopus citation counts. Surprisingly, field normalizing citation counts can reduce their strength as a quality indicator for articles in a single field. For most UoAs, Mendeley reader counts are the best altmetric (e.g., three Spearman correlations with quality scores above 0.5), tweet counts are also a moderate strength indicator in eight UoAs (Spearman correlations with quality scores above 0.3), ahead of news (eight correlations above 0.3, but generally weaker), blogs (five correlations above 0.3), and Facebook (three correlations above 0.3) citations, at least in the United Kingdom. In general, altmetrics are the strongest indicators of research quality in the health and physical sciences and weakest in the arts and humanities.
  3. 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 
    0.008628479 = product of:
  0.017256958 = sum of:
    0.017256958 = product of:
      0.034513917 = sum of:
        0.034513917 = weight(_text_:22 in 995) [ClassicSimilarity], result of:
          0.034513917 = score(doc=995,freq=2.0), product of:
            0.17841205 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05094824 = 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

Authors

Years