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The journal download immediacy index (DII): experiences using a Chinese full-text database

Author

Listed:
  • Jin-kun Wan

    (Library of Tsinghua University
    China Scientometrics and Bibliometrics Research Center, Tsinghua University)

  • Ping-huan Hua

    (Library of Tsinghua University
    China Scientometrics and Bibliometrics Research Center, Tsinghua University)

  • Ronald Rousseau

    (KHBO (Association K.U.Leuven), Industrial Sciences and Technology
    K.U.Leuven)

  • Xiu-kun Sun

    (China Scientometrics and Bibliometrics Research Center, Tsinghua University)

Abstract

Relationships between the journal download immediacy index (DII) and some citation indicators are studied. The Chinese full-text database CNKI is used for data collection. Results suggest that the DII can be considered as an independent indicator, but that it also has predictive value for other indicators, such as a journal’s h-index. In case a journal cannot yet have an impact factor—because its citation history within the database is too short—the DII can be used for a preliminary evaluation. The article provides results related to the CNKI database as a whole and additionally, some detailed information about agricultural and forestry journals.

Suggested Citation

  • Jin-kun Wan & Ping-huan Hua & Ronald Rousseau & Xiu-kun Sun, 2010. "The journal download immediacy index (DII): experiences using a Chinese full-text database," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 555-566, March.
    • Handle: RePEc:spr:scient:v:82:y:2010:i:3:d:10.1007_s11192-010-0171-2
    DOI: 10.1007/s11192-010-0171-2
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    References listed on IDEAS

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    Cited by:

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    7. Liwen Vaughan & Juan Tang & Rongbin Yang, 2017. "Investigating disciplinary differences in the relationships between citations and downloads," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1533-1545, June.
    8. Weibin Lin & Xianli Wu & Zhengwei Wang & Xiaoji Wan & Hailin Li, 2022. "Topic Network Analysis Based on Co-Occurrence Time Series Clustering," Mathematics, MDPI, vol. 10(16), pages 1-17, August.
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    10. Haustein, Stefanie & Siebenlist, Tobias, 2011. "Applying social bookmarking data to evaluate journal usage," Journal of Informetrics, Elsevier, vol. 5(3), pages 446-457.
    11. Juan Gorraiz & Christian Gumpenberger & Christian Schlögl, 2014. "Usage versus citation behaviours in four subject areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1077-1095, November.
    12. Bikun Chen & Dannan Deng & Zhouyan Zhong & Chengzhi Zhang, 2020. "Exploring linguistic characteristics of highly browsed and downloaded academic articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1769-1790, March.
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    14. Wencan Tian & Yongzhen Wang & Zhigang Hu & Ruonan Cai & Guangyao Zhang & Xianwen Wang, 2024. "Does Granger causality exist between article usage and publication counts? A topic-level time-series evidence from IEEE Xplore," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3285-3302, June.
    15. Muhammad Salman Khan & Muhammad Younas, 2017. "Analyzing readers behavior in downloading articles from IEEE digital library: a study of two selected journals in the field of education," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1523-1537, March.
    16. Wood-Doughty, Alex & Bergstrom, Ted & Steigerwald, Douglas, 2017. "Do download reports reliably measure journal usage? Trusting the fox to count your Hens?," University of California at Santa Barbara, Economics Working Paper Series qt1f221007, Department of Economics, UC Santa Barbara.
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    18. Xianwen Wang & Zhichao Fang & Xiaoling Sun, 2016. "Usage patterns of scholarly articles on Web of Science: a study on Web of Science usage count," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 917-926, November.

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