Fiji

#104 of 201

0.0% of editorial positions

68
Positions
50
Editors
58
Journals
14
Publishers
13.2
Mean h-index

Fiji ranks #104 among 201 countries. 68 positions across 58 journals. 50 editors. 26.3% female (below avg 33%). Mean h-index: 13.2 (below avg 22.5). 0.0% of global positions.

Gender distribution

Gender-inference coverage: 76% of editors here have an inferred gender — the 26.3% figure understates uncertainty for the unclassified remainder.

Male
28
Female
10
Unknown
12

26.3% female · 73.7% male (of 38 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).

0.823
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.
0.242
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.
22 yr
Median years since first OpenAlex-indexed publication, per editor. IQR 13–37 yr (spread 24 yr), mean 27.5 yr, n = 45. A low median with a small IQR indicates a board clustered in one career stage; a large IQR signals generational mix.