South Africa

#27 of 189

0.7% of editorial positions

4,288
Positions
3,374
Editors
2,237
Journals
40
Publishers
15.7
Mean h-index

South Africa ranks #27 among 189 countries. 4,288 positions across 2,237 journals. 3,374 editors. 40.8% female (above avg 33.7%). Mean h-index: 15.7 (below avg 22.7). 0.7% of global positions.

Gender distribution

Gender-inference coverage: 64.1% of editors here have an inferred gender — the 40.8% figure understates uncertainty for the unclassified remainder.

Male
1,265
Female
873
Androgynous
24
Unknown
1,212

40.8% female · 59.2% male (of 2,138 resolved; global avg 33.7%)

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.

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).

0.786
Pielou's J over OpenAlex scientific fields. High values mean this entity's editors span many disciplines (a broad multidisciplinary footprint); low values mean they cluster in one field. Especially informative for institution pages, where the country and org_type Shannons are trivially zero.
0.149
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 82% of editors dataset-wide. Higher values indicate editorial boards that reach into clinical practice, public labs, industry, or scientific societies.
23 yr
Median years since first OpenAlex-indexed publication, per unique editor. IQR 13–38 yr (spread 25 yr), mean 28.7 yr, n = 2,502. A low median with a small IQR indicates a board clustered in one career stage; a large IQR signals generational mix.