CT images with expert manual contours of thoracic cancer for benchmarking auto‐segmentation accuracy is a dataset published in Medical Physics (2020). 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 20 times, with 15 citing works in its 1-hop citation network.
Ranks in the top 16% 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
0.457
From this paper's citation signal
Citation Network Contribution
0.849
From 12 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 15 citers.
National Institutes of Health
Grant: U01 CA143062
NCI NIH HHS
Grant: P30 CA016672
NCI NIH HHS
Grant: P30 CA008748
National Cancer Institute
American Association of Physicists in Medicine (AAPM)
American Association of Physicists in Medicine (AAPM)
FWCI
3.08
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals