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Funding information in Web of Science: an updated overview

Author

Listed:
  • Weishu Liu

    () (Zhejiang University of Finance and Economics)

  • Li Tang

    () (Fudan University)

  • Guangyuan Hu

    () (Shanghai University of Finance and Economics)

Abstract

Despite the limitations of funding acknowledgment (FA) data in Web of Science (WoS), studies using FA information have increased rapidly over the last several years. Considering this WoS’ recent practice of updating funding data, this paper further investigates the characteristics and distribution of FA data in four WoS journal citation indexes. The research reveals that FA information coverage variances persist cross all four citation indexes by time coverage, language and document type. Our evidence suggests an improvement in FA information collection in humanity and social science research. Departing from previous studies, we argue that FA text (FT) alone no longer seems an appropriate field to retrieve and analyze funding information, since a substantial number of documents only report funding agency or grant number information in respective fields. Articles written in Chinese have a higher FA presence rate than other non-English WoS publications. This updated study concludes with a discussion of new findings and practical guidance for the future retrieval and analysis of funded research.

Suggested Citation

  • Weishu Liu & Li Tang & Guangyuan Hu, 2020. "Funding information in Web of Science: an updated overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1509-1524, March.
  • Handle: RePEc:spr:scient:v:122:y:2020:i:3:d:10.1007_s11192-020-03362-3
    DOI: 10.1007/s11192-020-03362-3
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    References listed on IDEAS

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    Cited by:

    1. Lin Zhang & Wenjing Zhao & Beibei Sun & Ying Huang & Wolfgang Glänzel, 2020. "How scientific research reacts to international public health emergencies: a global analysis of response patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 747-773, July.
    2. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    3. Lin Zhang & Wenjing Zhao & Beibei Sun & Ying Huang & Wolfgang Glänzel, 0. "How scientific research reacts to international public health emergencies: a global analysis of response patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 0, pages 1-27.
    4. Hui Li & Weishu Liu, 0. "Same same but different: self-citations identified through Scopus and Web of Science Core Collection," Scientometrics, Springer;Akadémiai Kiadó, vol. 0, pages 1-10.
    5. Hui Li & Weishu Liu, 2020. "Same same but different: self-citations identified through Scopus and Web of Science Core Collection," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2723-2732, September.
    6. Weishu Liu, 2020. "Accuracy of funding information in Scopus: a comparative case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 803-811, July.

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