National Center for Nanoscience and Technology

#920 of 5,277

Beijing, China nonprofit

ROR: 04f49ff35

139
Positions
46
Editors
87
Journals
12
Publishers
45.5
Mean h-index

National Center for Nanoscience and Technology ranks #920 among 5,277 institutions. 139 positions across 87 journals. 46 editors. 66.7% female (above avg 33.7%). Mean h-index: 45.5 (above avg 22.7).

Gender distribution

Low gender-inference coverage: only 39.1% of editors here have an inferred gender. The 66.7% figure is a share of the classifiable minority, not of the whole board. Typically caused by CJK-script names (Chinese / Korean / Taiwanese) that gender-guesser can't handle.
Male
1
Female
2
Androgynous
15
Unknown
28

66.7% female · 33.3% male (of 3 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.

Top scientific fields

Engineering
28.3% 13
Materials Science
19.6% 9
Energy
15.2% 7
Biochemistry, Genetics and Molecular Biology
10.9% 5
Chemistry
8.7% 4
Physics and Astronomy
4.3% 2
Medicine
4.3% 2
Pharmacology, Toxicology and Pharmaceutics
2.2% 1
Computer Science
2.2% 1

Board diversity

Per-editor diversity indicators. Each editor is counted once (composite identity key). The Shannon column uses Pielou's normalisation J = H / ln(k), bounded in [0, 1]. See the methodology for full definitions, use cases, and references (Shannon 1948; Pielou 1966; Jost 2006).

Field diversity
0.862
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.
Seniority (academic age)
27 yr
Median years since first OpenAlex-indexed publication, per unique editor. IQR 20–33 yr (spread 13 yr), mean 24.5 yr, n = 45. A low median with a small IQR indicates a board clustered in one career stage; a large IQR signals generational mix.
Explore National Center for Nanoscience and Technology editors Journal statistics Download full dataset

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