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The secrets behind Web of Science’s DOI search

Author

Listed:
  • Junwen Zhu

    (East China Normal University)

  • Fang Liu

    (Zhejiang University of Finance and Economics)

  • Weishu Liu

    (Zhejiang University of Finance and Economics)

Abstract

With the flourish of scientific literature, the Digital Object Identifier (DOI) is increasingly adopted in academia to uniquely identify research articles. By using Web of Science’s DOI search, we find that millions of DOI names appear to begin with an alphabetic character which violates the naming rule of DOI. In this study, we try to uncover the secrets behind Web of Science’s DOI search and explain this mysterious phenomenon. A similar investigation is also conducted by using the Scopus database. A few suggestions are provided at the end of this paper.

Suggested Citation

  • Junwen Zhu & Fang Liu & Weishu Liu, 2019. "The secrets behind Web of Science’s DOI search," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1745-1753, June.
    • Handle: RePEc:spr:scient:v:119:y:2019:i:3:d:10.1007_s11192-019-03091-2
    DOI: 10.1007/s11192-019-03091-2
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    References listed on IDEAS

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    1. Junwen Zhu & Guangyuan Hu & Weishu Liu, 2019. "DOI errors and possible solutions for Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 709-718, February.
    2. Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2015. "Errors in DOI indexing by bibliometric databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2181-2186, March.
    3. Li Tang & Guangyuan Hu & Weishu Liu, 2017. "Funding acknowledgment analysis: Queries and caveats," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(3), pages 790-794, March.
    4. Gorraiz, Juan & Melero-Fuentes, David & Gumpenberger, Christian & Valderrama-Zurián, Juan-Carlos, 2016. "Availability of digital object identifiers (DOIs) in Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(1), pages 98-109.
    5. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2016. "The museum of errors/horrors in Scopus," Journal of Informetrics, Elsevier, vol. 10(1), pages 174-182.
    6. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2016. "Empirical analysis and classification of database errors in Scopus and Web of Science," Journal of Informetrics, Elsevier, vol. 10(4), pages 933-953.
    7. Liu, Weishu & Hu, Guangyuan & Tang, Li, 2018. "Missing author address information in Web of Science—An explorative study," Journal of Informetrics, Elsevier, vol. 12(3), pages 985-997.
    8. Christophe Boudry & Ghislaine Chartron, 2017. "Availability of digital object identifiers in publications archived by PubMed," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1453-1469, March.
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    Cited by:

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    2. Kristina Galjanić & Ivan Marović & Nikša Jajac, 2022. "Decision Support Systems for Managing Construction Projects: A Scientific Evolution Analysis," Sustainability, MDPI, vol. 14(9), pages 1-23, April.

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