🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge
Demo corpus. Scores are computed on a select set of biomedical paper/datasets and may be inaccurate for papers outside this corpus — DataRank relies on network effects that improve with scale. We aim to expand this into a fully open resource pending additional funding.

Climbing the Density Functional Ladder: Nonempirical Meta–Generalized Gradient Approximation Designed for Molecules and Solids

Physical Review Letters(2003)10.1103/physrevlett.91.146401Source: DataRank Database
Top 12%
12.3DataRank
12.3Top 12%
Open Access
6994 citations · base score 8.9
datarank_citation_only_1hop_v4Methodology
Data sources & pipeline
Pipeline:CrossRefSciBERTdoi-metadataOpenAlexDataRank
Enrichment:Pending
FAIR ChecklistContext only (not used in score)
FFindable
Has DOI
AAccessible
Open Access
IInteroperable
RReusable

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

DataRank Breakdown

Base Component 11%Network Component 89%

Base Score Contribution

1.3

From this paper's citation signal

Citation Network Contribution

10.9

From 176 citing papers with measurable signal

Learn more about DataRank methodology →

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