Influence of Data Distribution on Federated Learning Performance in Tumor Segmentation is a dataset published in Radiology Artificial Intelligence (2023). On theSindex it has a DataRank of 1.3, placing it in the top 15.8% of the data-sharing corpus. It has been cited 22 times, with 22 citing works in its 1-hop citation network.
Ranks in the top 16% for downstream scientific impact
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
0.470
From this paper's citation signal
Citation Network Contribution
0.836
From 15 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 22 citers.
National Institutes of Health/National Cancer Institute
Grant: R42CA189637
Children’s Tumor Foundation
Grant: CTF-2021-10-02
Keywords