Related Experiment Video
Updated: Feb 12, 2026

08:32
Sex Differences in Mouse Hippocampal Astrocytes after In-Vitro Ischemia
Published on: October 25, 2016
13.9K
Sex Differences in Academic Rank and Publication Rate at Top-Ranked US Neurology Programs
Mollie McDermott1, Douglas J Gelb1, Kelsey Wilson1
1Department of Neurology, University of Michigan, Ann Arbor.
JAMA Neurology
|April 4, 2018
Summary
Men significantly outnumber women in academic neurology faculty positions, with disparities increasing at higher ranks. While men publish more, this gap narrows at senior levels, suggesting potential for greater gender equity in neurology.
Area of Science:
- Neurology
- Academic Medicine
- Gender Studies
Background:
- Women remain underrepresented in academic neurology.
- The reasons for this gender disparity are not fully understood.
Purpose of the Study:
- To investigate potential sex-based differences in academic neurology.
- To compare the representation and publication output of men and women across faculty ranks in top-tier neurology programs.
Main Methods:
- A cross-sectional analysis of faculty at 29 top-ranked academic neurology programs was conducted.
- Data on sex, academic rank, publications, and leadership roles were collected from program websites.
- Statistical analyses compared male and female faculty representation and productivity, controlling for years since medical school graduation.
Main Results:
- Men comprised 69.2% of academic neurologists compared to 30.8% for women.
- Men outnumbered women at all faculty ranks, with the disparity widening at higher positions (e.g., 86.2% men vs. 13.8% women for full professors).
- Men had more publications than women across all ranks, but this difference decreased at senior levels. No significant sex differences were found in clinical activity, educational leadership, or book authorship.
Conclusions:
- Significant gender disparities exist in academic neurology, with men dominating higher faculty ranks.
- While men publish more, the publication gap narrows with advancing rank.
- Further research is needed to understand and address the factors contributing to women's underrepresentation in academic neurology.
Related Concept Videos
Ranks
510
Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
510
Spearman's Rank Correlation Test
1.5K
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
Spearman's test calculates correlation by...
1.5K
Wilcoxon Rank-Sum Test
778
The Wilcoxon rank-sum test, also known as the Mann-Whitney U test, is a nonparametric test used to determine if there is a significant difference between the distributions of two independent samples. This test is designed specifically for two independent populations and has the following key requirements:
778
Friedman Two-way Analysis of Variance by Ranks
512
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
512
The Mantel-Cox Log-Rank Test
1.1K
The Mantel-Cox log-rank test is a widely used statistical method for comparing the survival distributions of two groups. It tests whether a statistically significant difference exists in survival times between the groups without assuming a specific distribution for the survival data, making it a non-parametric test. This flexibility makes the log-rank test particularly valuable in medical research and other fields where the timing of an event, such as death or disease recurrence, is of...
1.1K
Wilcoxon Signed-Ranks Test for Matched Pairs
506
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
506

