Fully Automated and Explainable Liver Segmental Volume Ratio and Spleen Segmentation at CT for Diagnosing Cirrhosis is a dataset published in Radiology Artificial Intelligence (2022). On theSindex it has a DataRank of 1.3, placing it in the top 15.9% of the data-sharing corpus. It has been cited 42 times, with 29 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
0.564
From this paper's citation signal
Citation Network Contribution
0.735
From 22 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 29 citers.
National Institutes of Health
FWCI
5.08
Citation Percentile
1.0%
Influential Citations
5
Citation Trend
Fields of Study
Keywords