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Usage pattern comparison of the same scholarly articles between Web of Science (WoS) and Springer

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  • Bikun Chen

    (Nanjing University of Science and Technology)

Abstract

Usage metrics have become increasingly popular in scientometric in recent years. While most current researches are limited to one single publisher or citation index database. In this study, the usage metrics are extended from one single platform to multiple platforms. We collect and analyze the usage counts of twenty journals in the field of biomedicine, computer, engineering and mathematics respectively from Springer and Web of Science (WoS). Statistics, correlation analysis, Jaccard similarity coefficient and overlay mapping are combined to explore differences and similarities between WoS usage counts and Springer usage counts. It is found that compared with the pay-for-access WoS, users prefer to visit publisher websites by the free, convenient and quick routes, such as bookmarks or general search engines. Then it depicts that Springer usage counts have better stratification in disciplines than WoS usage counts and Springer usage counts are less skewedly distributed than WoS usage counts in most disciplines. It also reveals that there are certain relationships between WoS usage counts and Springer usage counts. Finally, it demonstrates that WoS and Springer share a broad user interests in common and WoS and Springer also have their own unique user interests.

Suggested Citation

  • Bikun Chen, 2018. "Usage pattern comparison of the same scholarly articles between Web of Science (WoS) and Springer," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 519-537, April.
  • Handle: RePEc:spr:scient:v:115:y:2018:i:1:d:10.1007_s11192-017-2616-3
    DOI: 10.1007/s11192-017-2616-3
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    References listed on IDEAS

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    25. Wang, Xianwen & Peng, Lian & Zhang, Chunbo & Xu, Shenmeng & Wang, Zhi & Wang, Chuanli & Wang, Xianbing, 2013. "Exploring scientists’ working timetable: A global survey," Journal of Informetrics, Elsevier, vol. 7(3), pages 665-675.
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    Cited by:

    1. Yezhu Wang & Yundong Xie & Dong Wang & Lu Guo & Rongting Zhou, 2022. "Do cover papers get better citations and usage counts? An analysis of 42 journals in cell biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3793-3813, July.
    2. Luis Javier Cabeza Ramírez & Sandra M. Sánchez-Cañizares & Fernando J. Fuentes-García, 2019. "Past Themes and Tracking Research Trends in Entrepreneurship: A Co-Word, Cites and Usage Count Analysis," Sustainability, MDPI, vol. 11(11), pages 1-32, June.
    3. 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.
    4. Yu Geng & Renmeng Cao & Xiaopu Han & Wencan Tian & Guangyao Zhang & Xianwen Wang, 2022. "Scientists are working overtime: when do scientists download scientific papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6413-6429, November.

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    More about this item

    Keywords

    Article usage; Usage metrics; Web of Science; Springer; Overlay mapping;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

    Statistics

    Access and download statistics

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