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    Serials Review

    Serials Review

    JournalISSN 0098-7913eISSN 1879-095X中科院 管理学 4区

    年发文量

    研究主题

    论文(2771)

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    1When Network Signals Do Not Predict in Emerging Interdisciplinary Publishing: A Contingency Perspective from an Artificial Intelligence–Traditional Chinese Medicine Case Study
    Sishi Wang
    2026
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    2The Intersection of Artificial Intelligence and Digital Literacy: A Bibliometric Analysis 2011–2024
    Qurat Ul Ain Saleem, Muhammad Kabir Khan, Azeem Akbar, Nusrat Ali
    2026
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    3Adoption and Awareness of Makerspaces among Academic Librarians
    Dattatraya Kalbande, Gulabchandra J. Sharma
    2026
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    4From Libraries to Language Models: Exploring PhD Students’ Digital Research Tool Adoption
    A. Subaveerapandiyan,Leili Seifi,Naved Ahmad
    2026
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    5Exploring Online Attention and Influence of Massachusetts Institute of Technology Research Via Altmetrics
    Manjula N Kadadallimath, H. T. Harish

    Altmetric Attention Score (AAS) for the year 2001-2025 is assessed for academic recognition of Massachusetts Institute of Technology (MIT) publications. The aim of the study is to assess how open access (OA) affects the visibility of MIT articles in the research community, measure altmetric attention on various social media platforms, and assess the impact of citations. "We analyzed 313 MIT-affiliated publications that each had an AAS >= 1,000. Across this set, the sum of AAS values was 95,123, and the publications collectively attracted over 1,28,085 Mendeley readers during the study period." The findings show a noticeable rise in both research output and online visibility since 2010, with the greatest altmetric attention happening throughout the COVID-19 pandemic era (2020-2022). The AAS among the chosen publications varies between 1,000 and 19,042. This variation suggests a right-skewed distribution. It has a mean of 2,018 and a median of 1,438. Altmetric attention is most strongly correlated with Google Scholar (GS) citations (Spearman's p = 0.580, p < 0.001), followed by Scopus (p = 0.496) and Web of Science (WoS) (p = 0.485). Overall, the results suggest that altmetric indicators complement traditional citation metrics by capturing early online engagement to identify broader research visibility.

    2026
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    高被引作者

    作者引用发文
    Michael Adams9481
    Stevan Harnad9334
    Charles Oppenheim8502
    S Hitchcock8442
    François Vallières8181
    Chawki Hajjem8181
    Tim Brody8181
    Les Carr8181
    Yves Gingras8181
    Eberhard R Hilf8181

    高产作者

    作者引用发文
    Elizabeth Parang9035
    Maria Collins20933
    Kurt Blythe930
    Mark Needleman58329
    Sarah Tusa11724
    Andree J. Rathemacher1023
    Connie Foster5823
    Teresa Malinowski18723
    Les Hawkins4121
    M FERLEY49820

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