fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning is a dataset published in Radiology Artificial Intelligence (2020). On theSindex it has a DataRank of 6.2, placing it in the top 3.2% of the data-sharing corpus. It has been cited 404 times, with 100 citing works in its 1-hop citation network.
Ranks in the top 3% 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.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.901
From this paper's citation signal
Citation Network Contribution
5.3
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.
NIBIB NIH HHS
Grant: P41 EB017183
National Institutes of Health
Grant: R01EB024532
FWCI
19.80
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
PhaseDx: what a slice-level benchmark certifies without the pixels — code, screening artefacts and released auditor