Bibliometric analysis of authorship patterns in publications from a research group at the London School of Hygiene & Tropical Medicine, 2016–2020 Article Swipe
Iornum H. Shambe
,
Katherine A. Thomas
,
John Bradley
,
Tanya Marchant
,
Helen A. Weiss
,
Emily L. Webb
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1136/bmjgh-2022-011053
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1136/bmjgh-2022-011053
Background Authors from low and middle-income country (LMIC) institutions are under-represented in publications of research based in LMICs. This case study of publications from authors within the Medical Research Council International Statistics and Epidemiology Group (MRC-ISEG), a global health research group affiliated to the London School of Hygiene & Tropical Medicine in the UK, aims to describe patterns in authorship and factors associated with under-representation. Methods Papers were included if they were published between January 2016 and December 2020 inclusive, included an author from the MRC-ISEG and described work conducted in a LMIC. Authors’ affiliations were classified using World Bank country income classifications into LMIC affiliations only, high-income country (HIC) affiliations only and mixed LMIC/HIC affiliations. Multinomial logistic regression analysis was used to assess associations of author affiliation category with authorship position, and whether patterns varied by journal impact factor quartile and multiple versus single-country studies. Results A total of 882 papers, including 10 570 authors describing research conducted in 61 LMICs, were included. Compared with authors of HIC-only affiliation, those with LMIC-only affiliation were less likely to be in first authorship position (relative risk ratio (RRR)=0.51, 95% CI 0.44 to 0.60) and mixed HIC/LMIC affiliation authors were more likely (RRR=2.80, 95% CI 2.35 to 3.34). Compared with authors of HIC-only affiliation, those with LMIC-only affiliation were less likely to be in last authorship position (RRR=0.20, 95% CI 0.16 to 0.24) and those with mixed HIC/LMIC affiliations were more likely (RRR=1.95, 95% CI 1.65 to 2.30). The proportion of senior authors with LMIC-only affiliation was lowest for the highest impact journals, and in multicountry versus single-country studies. Conclusion Alongside increasing research capacity within LMICs, HIC institutions should ensure that LMIC-affiliated researchers are properly represented in global research. Academics working in global health should be judged on their involvement in representative collaborative research rather than individual achievements in authorship position.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/bmjgh-2022-011053
- https://gh.bmj.com/content/bmjgh/8/2/e011053.full.pdf
- OA Status
- gold
- Cited By
- 10
- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W4320915231
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4320915231Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1136/bmjgh-2022-011053Digital Object Identifier
- Title
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Bibliometric analysis of authorship patterns in publications from a research group at the London School of Hygiene & Tropical Medicine, 2016–2020Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
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2023-02-01Full publication date if available
- Authors
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Iornum H. Shambe, Katherine A. Thomas, John Bradley, Tanya Marchant, Helen A. Weiss, Emily L. WebbList of authors in order
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https://doi.org/10.1136/bmjgh-2022-011053Publisher landing page
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https://gh.bmj.com/content/bmjgh/8/2/e011053.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://gh.bmj.com/content/bmjgh/8/2/e011053.full.pdfDirect OA link when available
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Quartile, Tropical medicine, Hygiene, Medicine, Epidemiology, Family medicine, Demography, Sociology, Pathology, Confidence interval, Internal medicineTop concepts (fields/topics) attached by OpenAlex
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10Total citation count in OpenAlex
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2025: 5, 2024: 2, 2023: 3Per-year citation counts (last 5 years)
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29Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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