CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison is a dataset published in Proceedings of the AAAI Conference on Artificial Intelligence (2019). On theSindex it has a DataRank of 7.9, placing it in the top 2.1% of the data-sharing corpus. It has been cited 1,710 times, with 100 citing works in its 1-hop citation network. Its calibrated FAIR score is 72/100.
Ranks in the top 2% for downstream scientific impact
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Full FAIR picture · advisory
This score predates the current agent — it came from the earlier rubric, which blended repository metadata into the number and asked the model for a rating rather than an evidenced verdict. Re-evaluate the paper to score it against the current standards-anchored criteria, where every verdict is backed by a quote from the full text.
DOI present
datacite=5, pmcid=False, pmid=True
OpenAlex id present
files/OA location present but not flagged OA
9 OA location(s)
linked_datasets=5, datacite=5
accessions=0, trials=0
open license (cc-by)
downloads=0
no version chain
is_dataset
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
1.1
From this paper's citation signal
Citation Network Contribution
6.8
From 100 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 100 citers.
FWCI
162.93
Citation Percentile
1.0%
Influential Citations
496
Citation Trend
Fields of Study
Keywords
Additional file 1 of Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images
Additional file 1 of Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images
Additional file 1 of Validating the accuracy of deep learning for the diagnosis of pneumonia on chest x-ray against a robust multimodal reference diagnosis: a post hoc analysis of two prospective studies
Additional file 1 of Validating the accuracy of deep learning for the diagnosis of pneumonia on chest x-ray against a robust multimodal reference diagnosis: a post hoc analysis of two prospective studies
CheXpert: Chest X-Rays