2021
DOI: 10.1016/j.arth.2020.11.014
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Disparities Among Leading Publishers of Arthroplasty Research

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Cited by 10 publications
(7 citation statements)
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“…In another study by Xu et al. evaluating the disparities among authors in the top 12 journals publishing on arthroplasty research between 2002 and 2019, the authors examined 14,692 articles, with approximately 50% of the articles being published from North America, 30% from Europe, and 16.4% from Asia [ 17 ]. The authors did not mention any publications from the ME; however, publications from Asia and Africa accounted for 16.4% and 0.2%, respectively, which is low compared to other parts of the world [ 17 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In another study by Xu et al. evaluating the disparities among authors in the top 12 journals publishing on arthroplasty research between 2002 and 2019, the authors examined 14,692 articles, with approximately 50% of the articles being published from North America, 30% from Europe, and 16.4% from Asia [ 17 ]. The authors did not mention any publications from the ME; however, publications from Asia and Africa accounted for 16.4% and 0.2%, respectively, which is low compared to other parts of the world [ 17 ].…”
Section: Discussionmentioning
confidence: 99%
“…One way to measure scientific productivity is performing bibliometric studies, which are popularized in all scientific fields in general and the medical field in particular [ [14] , [15] , [16] ]. Previous studies reported a profound deficiency in publications on joint arthroplasty from Africa, while publications from Asian countries, although increasing in number, still lag behind those from North America and Europe [ 6 , 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%
“…Multiple studies have assessed the representation of women in orthopaedic publications and academic meeting presentations. Xu et al8 found that significant gender disparities remain among leading authors in the field of arthroplasty. Peters et al9 reviewed 2 major hand surgery journals and found increasing female authorship over the period studied.…”
Section: Discussionmentioning
confidence: 99%
“…The Genderize.io algorithm is a machinelearning-based tool that utilizes a database of >216,000 names from 79 countries and 89 languages to predict the gender of an individual on the basis of their name. This algorithm has been utilized extensively in previously published orthopaedic lit-erature [21][22][23][24][25][26] . The gender of the principal investigator was matched for 1,677 (97%) of the 1,723 total grants, with a minimum required confidence threshold of 90%.…”
Section: Gender Prediction Algorithmmentioning
confidence: 99%