Development of scalable lymphatic system in the 4D XCAT phantom: Application to quantitative evaluation of lymphoma PET segmentations is a dataset published in Medical Physics (2022). On theSindex it has a DataRank of 0.339, placing it in the top 51.5% of the data-sharing corpus. It has been cited 4 times, with 3 citing works in its 1-hop citation network.
Ranks in the top 51% 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
0.241
From this paper's citation signal
Citation Network Contribution
0.0974
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 3 citers.
Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery
Grant: RGPIN-2019-06467
Canadian Institutes of Health Research (CIHR) Project
Grant: PJT-173231
National Institutes of Health (NIH)
Grant: P41EB028744
NIBIB NIH HHS
Grant: R01 EB001838
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