Back

A Descriptive Analysis of Chairs of Academic Neurology Departments in the United States

Patel, K. K.; Patel, P. A.

2021-11-09 neurology
10.1101/2021.11.06.21266013 medRxiv
Show abstract

There remains a limited understanding of the characteristics of academic leaders within neurology departments, despite similar research in other fields. This investigation characterized the demographics, academic background, and scholarly productivity of United States (U.S.) neurology department chairs. Here, 131 chairs at Accreditation Council for Graduate Medical Education (ACGME)-certified neurology programs were identified. Publicly accessible demographic and academic data available online were collected in March 2021. Among the 131 neurology chairs analyzed, 84.7% were male. On average, these faculty were 60.5 years old and were appointed at a mean age of 52.0 years. 74.8% of chairs graduated from an American medical school, although a notable proportion of department heads received medical training internationally. A substantial cohort also acquired an additional graduate degree, of which Doctor of Philosophy (PhD; 22.1%) and masters degree (21.4%) were most common. 82.4% completed a post-residency fellowship, which were most frequently in vascular neurology (24.1%) and clinical neurophysiology (17.6%). The mean h-index, m-quotient, and lifetime NIH grant funding received were 39.2 {+/-} 29.4, 1.2 {+/-} 0.8, and $20,021,594 {+/-} $31,861,816, respectively. No between-gender differences were observed. Overall, neurology chairs are predominantly male, most often completing fellowships in vascular neurology or clinical neurophysiology. Research productivity is a notable component of these chairs careers, although certain programs place less emphasis on these metrics. Finally, substantial effort remains to address disparities in female representation at this leadership position. These findings serve as a benchmark to evaluate demographic trends among neurology department chairs.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

1
Frontiers in Neurology
91 papers in training set
Top 0.1%
60.0%
50% of probability mass above
2
PLOS ONE
4510 papers in training set
Top 46%
2.4%
3
Journal of the Neurological Sciences
17 papers in training set
Top 0.2%
1.9%
4
Annals of Clinical and Translational Neurology
29 papers in training set
Top 0.5%
1.9%
5
Movement Disorders
62 papers in training set
Top 0.6%
1.9%
6
Journal of Neurology, Neurosurgery & Psychiatry
29 papers in training set
Top 0.6%
1.9%
7
Neurology
44 papers in training set
Top 0.8%
1.7%
8
BMC Neurology
12 papers in training set
Top 0.4%
1.7%
9
Scientific Reports
3102 papers in training set
Top 58%
1.7%
10
European Journal of Neurology
20 papers in training set
Top 0.3%
1.5%
11
Stroke: Vascular and Interventional Neurology
13 papers in training set
Top 0.3%
1.5%
12
Journal of Stroke and Cerebrovascular Diseases
12 papers in training set
Top 0.4%
1.2%
13
Journal of Neurology
26 papers in training set
Top 0.9%
1.1%
14
Multiple Sclerosis Journal
18 papers in training set
Top 0.2%
1.1%
15
Neuro-Oncology
30 papers in training set
Top 0.6%
1.0%
16
F1000Research
79 papers in training set
Top 3%
1.0%
17
JMIR Formative Research
32 papers in training set
Top 1%
0.9%
18
Emergency Medicine Journal
20 papers in training set
Top 0.5%
0.9%
19
Frontiers in Neuroscience
223 papers in training set
Top 7%
0.8%
20
Frontiers in Aging Neuroscience
67 papers in training set
Top 3%
0.8%
21
Annals of Neurology
57 papers in training set
Top 3%
0.5%
22
Brain Communications
147 papers in training set
Top 4%
0.5%