IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v119y2019i3d10.1007_s11192-019-03091-2.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-019-03091-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-019-03091-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2016. "The museum of errors/horrors in Scopus," Journal of Informetrics, Elsevier, vol. 10(1), pages 174-182.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Shuo Xu & Liyuan Hao & Xin An & Dongsheng Zhai & Hongshen Pang, 2019. "Types of DOI errors of cited references in Web of Science with a cleaning method," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1427-1437, September.
    3. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    4. Gabriel Alves Vieira & Jacqueline Leta, 2024. "biblioverlap: an R package for document matching across bibliographic datasets," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4513-4527, July.
    5. Xiaoling Huang & Lei Wang & Weishu Liu, 2023. "Identification of national research output using Scopus/Web of Science Core Collection: a revisit and further investigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2337-2347, April.
    6. Alessia Cioffi & Sara Coppini & Arcangelo Massari & Arianna Moretti & Silvio Peroni & Cristian Santini & Nooshin Shahidzadeh Asadi, 2022. "Identifying and correcting invalid citations due to DOI errors in Crossref data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3593-3612, June.
    7. Weishu Liu & Meiting Huang & Haifeng Wang, 2021. "Same journal but different numbers of published records indexed in Scopus and Web of Science Core Collection: causes, consequences, and solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4541-4550, May.
    8. 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.
    9. Weishu Liu, 2020. "Accuracy of funding information in Scopus: a comparative case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 803-811, July.
    10. Weishu Liu, 2019. "The data source of this study is Web of Science Core Collection? Not enough," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1815-1824, December.
    11. Igor Savchenko & Denis Kosyakov, 2022. "Lost in affiliation: apatride publications in international databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3471-3487, June.
    12. Weishu Liu, 2021. "A matter of time: publication dates in Web of Science Core Collection," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 849-857, January.
    13. 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.
    14. Thelwall, Mike, 2018. "Microsoft Academic automatic document searches: Accuracy for journal articles and suitability for citation analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 1-9.
    15. Abdelghani Maddi & Lesya Baudoin, 2022. "The quality of the web of science data: a longitudinal study on the completeness of authors-addresses links," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6279-6292, November.
    16. Shirley Ainsworth & Jane M. Russell, 2018. "Has hosting on science direct improved the visibility of Latin American scholarly journals? A preliminary analysis of data quality," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1463-1484, June.
    17. 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.
    18. Guangyuan Hu & Lei Wang & Rong Ni & Weishu Liu, 2020. "Which h-index? An exploration within the Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1225-1233, June.
    19. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    20. Amrollah Shamsi & Rafaela Carolina Silva & Ting Wang & N. Vasantha Raju & Karen Santos-d’Amorim, 2022. "A grey zone for bibliometrics: publications indexed in Web of Science as anonymous," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5989-6009, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:119:y:2019:i:3:d:10.1007_s11192-019-03091-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.