eLife

#41 publisher

1 journals covered

710
Positions
706
Editors
1
Journals
41
Countries
26
Mean h-index
100%
Open access

eLife ranks #41 among 48 publishers. 710 positions across 1 journals. 706 editors. 36.7% female (above avg 33%). Mean h-index: 26 (above avg 22.5). 100% open access.

Gender distribution

Male
397
Female
230
Unknown
79

36.7% female · 63.3% male (of 627 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
40.8% 288
United Kingdom
7.1% 50
China
5.1% 36
India
5.0% 35
Germany
3.7% 26
Canada
3.4% 24
Japan
2.7% 19
France
2.4% 17
Australia
2.1% 15
Brazil
2.0% 14

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).

0.655
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.
0.381
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.
22 yr
Median years since first OpenAlex-indexed publication, per unique editor. IQR 3–33 yr (spread 30 yr), mean 24.3 yr, n = 431. A low median with a small IQR indicates a board clustered in one career stage; a large IQR signals generational mix.