Search (24 results, page 1 of 2)

  • × author_ss:"Thelwall, M."
  1. Thelwall, M.: Are Mendeley reader counts high enough for research evaluations when articles are published? (2017) 0.01
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    Content
    Vgl.: http://www.emeraldinsight.com/doi/full/10.1108/AJIM-01-2017-0028.
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 69(2017) no.2, S.174-183
    Year
    2017
  2. Thelwall, M.: Book genre and author gender : romance > paranormal-romance to autobiography > memoir (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1212-1223
    Year
    2017
  3. Orduna-Malea, E.; Thelwall, M.; Kousha, K.: Web citations in patents : evidence of technological impact? (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1967-1974
    Year
    2017
  4. Kousha, K.; Thelwall, M.: News stories as evidence for research? : BBC citations from articles, Books, and Wikipedia (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.2017-2028
    Year
    2017
  5. Kousha, K.; Thelwall, M.: Patent citation analysis with Google (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.48-61
    Year
    2017
  6. Thelwall, M.; Kousha, K.: ResearchGate articles : age, discipline, audience size, and impact (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.2, S.468-479
    Year
    2017
  7. Kousha, K.; Thelwall, M.: Are wikipedia citations important evidence of the impact of scholarly articles and books? (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.3, S.762-779
    Year
    2017
  8. Thelwall, M.; Kousha, K.: Goodreads : a social network site for book readers (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.4, S.972-983
    Year
    2017
  9. Thelwall, M.; Kousha, K.: SlideShare presentations, citations, users, and trends : a professional site with academic and educational uses (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1989-2003
    Year
    2017
  10. Kousha, K.; Thelwall, M.; Abdoli, M.: Goodreads reviews to assess the wider impacts of books (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.2004-2016
    Year
    2017
  11. Levitt, J.M.; Thelwall, M.; Oppenheim, C.: Variations between subjects in the extent to which the social sciences have become more interdisciplinary (2011) 0.00
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    Abstract
    Increasing interdisciplinarity has been a policy objective since the 1990s, promoted by many governments and funding agencies, but the question is: How deeply has this affected the social sciences? Although numerous articles have suggested that research has become more interdisciplinary, yet no study has compared the extent to which the interdisciplinarity of different social science subjects has changed. To address this gap, changes in the level of interdisciplinarity since 1980 are investigated for subjects with many articles in the Social Sciences Citation Index (SSCI), using the percentage of cross-disciplinary citing documents (PCDCD) to evaluate interdisciplinarity. For the 14 SSCI subjects investigated, the median level of interdisciplinarity, as measured using cross-disciplinary citations, declined from 1980 to 1990, but rose sharply between 1990 and 2000, confirming previous research. This increase was not fully matched by an increase in the percentage of articles that were assigned to more than one subject category. Nevertheless, although on average the social sciences have recently become more interdisciplinary, the extent of this change varies substantially from subject to subject. The SSCI subject with the largest increase in interdisciplinarity between 1990 and 2000 was Information Science & Library Science (IS&LS) but there is evidence that the level of interdisciplinarity of IS&LS increased less quickly during the first decade of this century.
  12. 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) 0.00
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    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.
  13. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.00
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    Date
    4.12.2006 12:12:22
  14. Levitt, J.M.; Thelwall, M.: Citation levels and collaboration within library and information science (2009) 0.00
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    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
  15. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011) 0.00
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    Date
    22. 1.2011 14:27:06
  16. Thelwall, M.; Maflahi, N.: Guideline references and academic citations as evidence of the clinical value of health research (2016) 0.00
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    Date
    19. 3.2016 12:22:00
  17. Thelwall, M.; Sud, P.: Mendeley readership counts : an investigation of temporal and disciplinary differences (2016) 0.00
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    Date
    16.11.2016 11:07:22
  18. Didegah, F.; Thelwall, M.: Co-saved, co-tweeted, and co-cited networks (2018) 0.00
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    Date
    28. 7.2018 10:00:22
  19. Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007) 0.00
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    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.
  20. Thelwall, M.; Buckley, K.; Paltoglou, G.; Cai, D.; Kappas, A.: Sentiment strength detection in short informal text (2010) 0.00
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    Date
    22. 1.2011 14:29:23