Colebank, M. J. https://orcid.org/0000-0002-2294-9124
Chesler, N. C. https://orcid.org/0000-0002-7612-5796
Funding for this research was provided by:
National Center for Research Resources and the National Center for Advancing Translational Science (TL1 TR001415)
National Institutes of Health (R01 HL154624, R01 HL154624)
Article History
Received: 13 February 2024
Accepted: 11 July 2024
First Online: 29 July 2024
Declarations
:
: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
: In agreement with the editorial from the Biomedical Engineering Society (BMES) (Rowson et al. ) on biases in citation practices, we have performed an analysis of the gender and race of our bibliography. This was done manually, though automatic probabilistic tools exist. We recognize existing race and gender biases in citation practices and promote the use of diversity statements like this for encouraging fair gender and racial author inclusion and identifying gaps in scientific representation.Our references contain 16% woman(first)/woman(last), 12% man/woman, 16% woman/man, and 56% man/man. This binary gender categorization is limited in that it cannot account for intersex, nonbinary, or transgender people. In addition, our references contain 0% author of color (first)/author of color(last), 5% white author/author of color, 16% author of color/white author, and 79% white author/white author. Our approach to gender and race categorization is limited in that gender and race are assigned by us based on publicly available information and online media. We look forward to future databases that would allow all authors to self-identify race and gender in appropriately anonymized and searchable fashion and new research that enables and supports equitable practices in science.