Mali

#138 of 201

0.0% of editorial positions

15
Positions
14
Editors
14
Journals
7
Publishers
9.8
Mean h-index

Mali ranks #138 among 201 countries. 15 positions across 14 journals. 14 editors. 18.2% female (below avg 33%). Mean h-index: 9.8 (below avg 22.5). 0.0% of global positions.

Gender distribution

Gender-inference coverage: 78.6% of editors here have an inferred gender — the 18.2% figure understates uncertainty for the unclassified remainder.

Male
9
Female
2
Unknown
3

18.2% female · 81.8% male (of 11 resolved; global avg 33%)

Each editor is 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 at this entity (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).

0.889
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.
0.863
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 81% 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.
13.5 yr
Median years since first OpenAlex-indexed publication, per editor. IQR 4.2–26.5 yr (spread 22.2 yr), mean 17.7 yr, n = 6. A low median with a small IQR indicates a board clustered in one career stage; a large IQR signals generational mix.