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Multi-views on Nature Index of Chinese academic institutions

Author

Listed:
  • Yu Liu

    (Dalian University of Technology)

  • Dan Lin

    (Dalian University of Technology)

  • Xiujuan Xu

    (Dalian University of Technology)

  • Shimin Shan

    (Dalian University of Technology)

  • Quan Z. Sheng

    (Macquarie University)

Abstract

The Nature Index (NI) has become a rather powerful tool to identify emerging trends in various research fields. According to the NI 2015 released at the beginning of 2016, China, the world’s second largest producer of research papers, maintains a strong momentum on scientific output. Based on online source metrics such as Mendeley bookmarks, we evaluated multi-viewed impact of the top 50 academic institutions in the NI China. For the selection of multiple metrics, we investigated the presence and coverage of different kinds of online metrics, with a particular focus on their correlations with traditional citation-based metrics. In addition, Mendeley, Twitter, and Scopus are chosen as the complementary sources for multi-metrics. We sorted three ranks of the top 50 institutions in the NI China based on citation counts in Scopus, reader counts on Mendeley, and Twitter counts and we analyzed the differences among various ranking results. The diverse metrics revealed different aspects on institutions’ academic impact.

Suggested Citation

  • Yu Liu & Dan Lin & Xiujuan Xu & Shimin Shan & Quan Z. Sheng, 2018. "Multi-views on Nature Index of Chinese academic institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 823-837, March.
    • Handle: RePEc:spr:scient:v:114:y:2018:i:3:d:10.1007_s11192-017-2581-x
    DOI: 10.1007/s11192-017-2581-x
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    References listed on IDEAS

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    2. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha & Ajith Abraham, 2020. "Nature or Science: what Google Trends says," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1367-1385, August.
    3. Haunschild, Robin & Bornmann, Lutz, 2023. "Which papers cited which tweets? An exploratory analysis based on Scopus data," Journal of Informetrics, Elsevier, vol. 17(2).

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