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Tracking researchers and their outputs: new insights from ORCIDs

Author

Listed:
  • Jan Youtie

    (Georgia Institute of Technology)

  • Stephen Carley

    (Search Technology
    Georgia Institute of Technology)

  • Alan L. Porter

    (Search Technology
    Georgia Institute of Technology)

  • Philip Shapira

    (Georgia Institute of Technology
    University of Manchester)

Abstract

The ability to accurately identify scholarly authors is central to bibliometric analysis. Efforts to disambiguate author names using algorithms or national or societal registries become less effective with increases in the number of publications from China and other nations where shared and similar names are prevalent. This work analyzes the adoption and integration of an open source, cross-national identification system, the Open Researcher and Contributor ID system (ORCID), in Web of Science metadata. Results at the article level show greater adoption, to date, of the ORCID identifier in Europe as compared with Asia and the US. Focusing analysis on individual highly cited researchers with the shared Chinese surname “Wang,” results indicate limitations in the adoption of ORCID. The mechanisms for integrating ORCID identifiers into articles also come into question in an analysis of co-authors of one particular highly cited researcher who have varying percentages of articles with ORCID identifiers attached. These results suggest that systematic variations in adoption and integration of ORCID into publication metadata should be considered in any bibliometric analysis based on it.

Suggested Citation

  • Jan Youtie & Stephen Carley & Alan L. Porter & Philip Shapira, 2017. "Tracking researchers and their outputs: new insights from ORCIDs," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 437-453, October.
    • Handle: RePEc:spr:scient:v:113:y:2017:i:1:d:10.1007_s11192-017-2473-0
    DOI: 10.1007/s11192-017-2473-0
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    References listed on IDEAS

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    1. Li Tang & John P. Walsh, 2010. "Bibliometric fingerprints: name disambiguation based on approximate structure equivalence of cognitive maps," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 763-784, September.
    2. Declan Butler, 2012. "Scientists: your number is up," Nature, Nature, vol. 485(7400), pages 564-564, May.
    3. Andreas Strotmann & Dangzhi Zhao, 2012. "Author name disambiguation: What difference does it make in author-based citation analysis?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(9), pages 1820-1833, September.
    4. Andreas Strotmann & Dangzhi Zhao, 2012. "Author name disambiguation: What difference does it make in author‐based citation analysis?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(9), pages 1820-1833, September.
    5. Zhou, Ping & Leydesdorff, Loet, 2006. "The emergence of China as a leading nation in science," Research Policy, Elsevier, vol. 35(1), pages 83-104, February.
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    Citations

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    Cited by:

    1. Ciriaco Andrea D’Angelo & Nees Jan Eck, 2020. "Collecting large-scale publication data at the level of individual researchers: a practical proposal for author name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 883-907, May.
    2. Sixto-Costoya Andrea & Robinson-Garcia Nicolas & Leeuwen Thed & Costas Rodrigo, 2021. "Exploring the relevance of ORCID as a source of study of data sharing activities at the individual-level: a methodological discussion," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7149-7165, August.
    3. Jinseok Kim & Jason Owen-Smith, 2021. "ORCID-linked labeled data for evaluating author name disambiguation at scale," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2057-2083, March.
    4. Gomez, Charles J. & Herman, Andrew C. & Parigi, Paolo, 2020. "Moving more, but closer: Mapping the growing regionalization of global scientific mobility using ORCID," Journal of Informetrics, Elsevier, vol. 14(3).
    5. Christophe Boudry, 2021. "Availability of ORCIDs in publications archived in PubMed, MEDLINE, and Web of Science Core Collection," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3355-3371, April.
    6. Christophe Boudry & Manuel Durand-Barthez, 2020. "Use of author identifier services (ORCID, ResearcherID) and academic social networks (Academia.edu, ResearchGate) by the researchers of the University of Caen Normandy (France): A case study," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.

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