🏆 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.

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Proceedings of the AAAI Conference on Artificial Intelligence(2019)10.1609/aaai.v33i01.3301590Source: DataRank Database
Top 1%
12.6DataRank
12.6Top 1%
Dataset Open Access
1710 citations · base score 7.4
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
Dataset classification

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

DataRank Breakdown

Base Component 9%Network Component 91%

Base Score Contribution

1.1

From this paper's citation signal

Citation Network Contribution

11.5

From 194 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (22)

Pranav RajpurkarORCID,Michael KoORCID,Yifan YuORCID,Silviana Ciurea-Ilcus,Chris Chute

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