National Center for Nanoscience and Technology

#999 of 6,098

Beijing, China nonprofit

ROR: 04f49ff35

146
Positions
48
Editors
91
Journals
12
Publishers
43.9
Mean h-index

National Center for Nanoscience and Technology ranks #999 among 6,098 institutions. 146 positions across 91 journals. 48 editors. 40.7% female (above avg 33%). Mean h-index: 43.9 (above avg 22.5).

Gender distribution

Low gender-inference coverage: only 56.2% of editors here have an inferred gender. The 40.7% figure is a share of the classifiable minority, not of the whole board. Typically caused by CJK-script names (Chinese / Korean / Taiwanese) that the WGND 2.0 dictionary cannot disambiguate.
Male
16
Female
11
Unknown
21

40.7% female · 59.3% male (of 27 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.

Top scientific fields

Engineering
27.1% 13
Materials Science
22.9% 11
Energy
14.6% 7
Chemistry
10.4% 5
Biochemistry, Genetics and Molecular Biology
8.3% 4
Physics and Astronomy
4.2% 2
Medicine
4.2% 2
Pharmacology, Toxicology and Pharmaceutics
2.1% 1
Computer Science
2.1% 1
Multidisciplinary
2.1% 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
0.843
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 16–33 yr (spread 17 yr), mean 23.8 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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