Neuroscience

#13 of 27

Editorial board composition

18,859
Positions
16,952
Editors
255
Journals
91
Countries
27.8
Mean h-index

Neuroscience ranks #13 among 27 fields. 18,859 positions across 255 journals. 16,952 editors. 35.7% female (above avg 33%). Mean h-index: 27.8 (above avg 22.5).

Gender distribution

Male
9,388
Female
5,218
Unknown
2,346

35.7% female · 64.3% male (of 14,606 resolved; global avg 33%)

Each editor counted once at this entity (composite identity key). Gender is inferred from the first name — not self-reported — and coverage drops for non-Latin-script names, which inflates the "unknown" bar in some countries.

Top countries

United States
31.5% 5,335
United Kingdom
7.5% 1,275
Italy
5.3% 904
Germany
4.6% 774
China
4.3% 723
Canada
4.0% 672
Japan
3.2% 538
Australia
3.0% 510
France
2.4% 400
Spain
2.1% 354

Board diversity

Per-editor diversity indicators. Each editor is counted once (composite identity key). The Shannon columns use Pielou's normalisation J = H / ln(k) so values are comparable across entities with different numbers of categories. See the methodology for full definitions, use cases, and references (Shannon 1948; Pielou 1966; Jost 2006).

0.589
Pielou's J over ROR country distribution. 0 = all editors from one country, 1 = perfectly even across every country present. MDPI sits higher than Elsevier here; compare against the top-countries bar to see which countries drive the spread.
0.284
Pielou's J over the ROR org_type field (education, healthcare, facility, government, nonprofit, company, archive). Low values mean editors come overwhelmingly from one kind of institution — usually universities, which account for about 83% of the editors with a known institution type dataset-wide. Higher values indicate editorial boards that reach into clinical practice, public labs, industry, or scientific societies.
28 yr
Median years since first OpenAlex-indexed publication, per unique editor. IQR 17–42 yr (spread 25 yr), mean 32.1 yr, n = 9,679. A low median with a small IQR indicates a board clustered in one career stage; a large IQR signals generational mix.