Linguistic Analysis of Race and Gender Bias in Letters of Recommendation for Neurology Residency Applicants (S28.005)

To evaluate the association of gender, race, and language use in letters of recommendation (LORs) for neurology residency applicants

Authors

Institutions

Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000208469
Primary Topic
Medical and Biological Sciences
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Linguistic Analysis of Race and Gender Bias in Letters of Recommendation for Neurology Residency Applicants (S28.005)

Nhu-y Phan, Ana M. López, Alexis Lorio, Carrie Allison et al.
Neurology
Medical and Biological Sciences
article

Linguistic Analysis of Race and Gender Bias in Letters of Recommendation for Neurology Residency Applicants (S28.005)

Nhu-y Phan, Ana M. López, Alexis Lorio, Carrie Allison, Michelle Maher, Suma Shah, Christopher Eckstein, Vivian Chen
article en

Abstract

To evaluate the association of gender, race, and language use in letters of recommendation (LORs) for neurology residency applicants

NeurologyVol. 104(7_Supplement_1)
Duke University (US), Duke Medical Center (US), Duke University Hospital (US)
Gender equality
Openalex Percentile: Top 86%
Medical and Biological Sciences
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.