Zimbabwe

#95 of 189

0.0% of editorial positions

86
Positions
78
Editors
74
Journals
11
Publishers
11.8
Mean h-index

Zimbabwe ranks #95 among 189 countries. 86 positions across 74 journals. 78 editors. 21.3% female (below avg 33%). Mean h-index: 11.8 (below avg 22.5). 0.0% of global positions.

Gender distribution

Gender-inference coverage: 60.3% of editors here have an inferred gender — the 21.3% figure understates uncertainty for the unclassified remainder.

Male
37
Female
10
Unknown
31

21.3% female · 78.7% male (of 47 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.

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).

0.733
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.
0.325
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.
17 yr
Median years since first OpenAlex-indexed publication, per unique editor. IQR 13–25.5 yr (spread 12.5 yr), mean 20.4 yr, n = 59. A low median with a small IQR indicates a board clustered in one career stage; a large IQR signals generational mix.