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Using altmetrics for assessing impact of highly-cited books in Chinese Book Citation Index

Author

Listed:
  • Xia Nan

    (Nanjing University)

  • Ming Li

    (Nanjing University)

  • Jin Shi

    (Nanjing University)

Abstract

With the rapid development of Internet technology, online academic communications are increasingly prevalent, the traditional ways of academic evaluation can’t comprehensively reflect the multi-dimensional impact of scientific publications, therefore altmetrics is widely concerned by scholars because of its objectivity, timeliness and openness. Based on Douban Reading platform, this paper uses descriptive statistical analysis, grouping analysis, correlation analysis and other statistical methods to conduct the altmetrics evaluation of 1000 highly-cited books in Chinese Book Citation Index. The results show that there is a weak correlation between citations and altmetrics indicators, suggesting that they reflect different aspects of books’ impact and they are complementary in the academic evaluation. What’s more, altmetrics indicators are different on discipline and year, the more applicable the discipline is, the higher the values of altmetrics indicators are. Meanwhile, compared with old books, new books published in recent years have an advantage in the altmetrics evaluation.

Suggested Citation

  • Xia Nan & Ming Li & Jin Shi, 2020. "Using altmetrics for assessing impact of highly-cited books in Chinese Book Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1651-1669, March.
    • Handle: RePEc:spr:scient:v:122:y:2020:i:3:d:10.1007_s11192-020-03347-2
    DOI: 10.1007/s11192-020-03347-2
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    References listed on IDEAS

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    Cited by:

    1. Ying Guo & Xiantao Xiao, 2022. "Author-level altmetrics for the evaluation of Chinese scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 973-990, February.
    2. Siluo Yang & Xin Xing & Fan Qi & Maria Cláudia Cabrini Grácio, 2021. "Comparison of academic book impact from a disciplinary perspective: an analysis of citations and altmetric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1101-1123, February.

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