Citation bias, diversity, and ethics.


Journal

Accountability in research
ISSN: 1545-5815
Titre abrégé: Account Res
Pays: United States
ID NLM: 9100813

Informations de publication

Date de publication:
Dec 2024
Historique:
medline: 4 1 2024
pubmed: 9 8 2022
entrez: 8 8 2022
Statut: ppublish

Résumé

How often a researcher is cited usually plays a decisive role in that person's career advancement, because academic institutions often use citation metrics, either explicitly or implicitly, to estimate research impact and productivity. Research has shown, however, that citation patterns and practices are affected by various biases, including the prestige of the authors being cited and their gender, race, and nationality, whether self-attested or perceived. Some commentators have proposed that researchers can address biases related to social identity or position by including a Citation Diversity Statement in a manuscript submitted for publication. A Citation Diversity Statement is a paragraph placed before the reference section of a manuscript in which the authors address the diversity and equitability of their references in terms of gender, race, ethnicity, or other factors and affirm a commitment to promoting equity and diversity in sources and references. The present commentary considers arguments in favor of Citation Diversity Statements, and some practical and ethical issues that these statements raise.

Identifiants

pubmed: 35938378
doi: 10.1080/08989621.2022.2111257
pmc: PMC9938084
mid: NIHMS1830113
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

158-172

Subventions

Organisme : Intramural NIH HHS
ID : ZIA ES102646
Pays : United States

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Auteurs

Keisha S Ray (KS)

McGovern Center For Humanities & Ethics, University of Texas Health Science Center at Houston, Houston, Texas, USA.

Perry Zurn (P)

Department of Philosophy and Religion, American University, Washington, Washington DC, USA.

Jordan D Dworkin (JD)

Department of Psychiatry, Columbia University Medical Center, New York, New York, USA.

Dani S Bassett (DS)

Departments of Bioengineering, Electrical & Systems Engineering, Physics and Astronomy, Neurology, and Psychiatry, University of Pennsylvania; and the Santa Fe Institute, Philadelphia, Philadelphia, USA.

David B Resnik (DB)

National Institutes of Health, National Institute of Environmental Health Sciences, New York, New York, USA.

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Classifications MeSH