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A One Health information database based on standard bibliometric analysis

Publication ,  Journal Article
Qiang, N; Gu, SY; Wang, XY; Zhang, XX; Xia, S; Zheng, JX; Gong, WF; Bergquist, R; Ran, JJ; Han, LF
Published in: Science in One Health
November 1, 2022

Background: One Health is an integrated concept of health that aims to optimize the health of humans, animals, plants, and the environment. Identifying research gaps and specific expertise areas is important for understanding the role of One Health in practice. This information on One Health could be used to promote collaboration and research, inspire innovative ideas, and accelerate the translation of evidence-based practices into policies. Methods: We searched the Scopus database for publications related to One Health between 2012 and 2021 to extract bibliometric information and investigate the possibility of establishing a dedicated expertise database. We matched scholarly information using SciVal to exclude duplicate information and identify scholars’ affiliations, countries, and academic profiles. Individual academic contributions to One Health were evaluated according to their citations, publication impact, publication type, and author contributions. Results: A total of 8,313 publications on One Health over a ten-year period were identified, with the number of publications increasing over time. The largest number of publications came from the United States and the United Kingdom. These countries also had the highest number of experts and a high level of international collaboration. We identified 500 scholars from 53 countries and 313 affiliations with a median Hirsch Index of 20 who could be included in a One Health expert database. These scientists had a median of six publications on One Health, with topics mostly focusing on dengue and antimicrobial resistance. Conclusion: A One Health information database could be used as a third-party reference for scholars, a source to track the ongoing academic progress, and support for active scholars in this field of research.

Duke Scholars

Published In

Science in One Health

DOI

ISSN

2949-7043

Publication Date

November 1, 2022

Volume

1
 

Citation

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Qiang, N., Gu, S. Y., Wang, X. Y., Zhang, X. X., Xia, S., Zheng, J. X., … Han, L. F. (2022). A One Health information database based on standard bibliometric analysis. Science in One Health, 1. https://doi.org/10.1016/j.soh.2023.100012
Qiang, N., S. Y. Gu, X. Y. Wang, X. X. Zhang, S. Xia, J. X. Zheng, W. F. Gong, R. Bergquist, J. J. Ran, and L. F. Han. “A One Health information database based on standard bibliometric analysis.” Science in One Health 1 (November 1, 2022). https://doi.org/10.1016/j.soh.2023.100012.
Qiang N, Gu SY, Wang XY, Zhang XX, Xia S, Zheng JX, et al. A One Health information database based on standard bibliometric analysis. Science in One Health. 2022 Nov 1;1.
Qiang, N., et al. “A One Health information database based on standard bibliometric analysis.” Science in One Health, vol. 1, Nov. 2022. Scopus, doi:10.1016/j.soh.2023.100012.
Qiang N, Gu SY, Wang XY, Zhang XX, Xia S, Zheng JX, Gong WF, Bergquist R, Ran JJ, Han LF. A One Health information database based on standard bibliometric analysis. Science in One Health. 2022 Nov 1;1.

Published In

Science in One Health

DOI

ISSN

2949-7043

Publication Date

November 1, 2022

Volume

1