2395-9045
Health Score
0 Good
Metadata coverage
Extended metadata coverage
Informational — signals of interoperability and funding across the corpus. Not part of the health score.
Funding
Funder
Award / grant
Affiliation & institutional identifiers
Affiliation
ROR ID
Update policy
Update policy
Your prioritized action plan
Ordered by how many DOIs each fix touches — start here, not with every error at once.
1
Attach ORCID iDs across 23 articles
ORCID iDs strengthen author disambiguation and institutional reporting.
High impact23 DOIs
2
Add license metadata to 22 records
License metadata tells indexers and readers how each article may be reused.
High impact22 DOIs
3
Deposit reference lists for 11 records
Deposited references power Crossref's Cited-by links between your articles and the literature.
Medium impact11 DOIs
DOIs for this ISSN
| # | Title | Missing | Priority | Citations |
|---|---|---|---|---|
| 1 | GENDER BIAS IN ARTIFICIAL INTELLIGENCE: A CRITICAL PERSPECTI… (10.22201/fder.23959045e.2024.26.90464) | ORCID License | 30.10 | 3 |