Development of a Machine Learning Model to Identify Colorectal Cancer Stage in Medicare Claims is a dataset published in JCO Clinical Cancer Informatics (2023). On theSindex it has a DataRank of 0.344, placing it in the top 51% of the data-sharing corpus. It has been cited 6 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
0.292
From this paper's citation signal
Citation Network Contribution
0.0520
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.
NCI NIH HHS
Grant: HHSN261201800009C
NCI NIH HHS
Grant: HHSN261201800032C
NCI NIH HHS
Grant: HHSN261201800032I
NIMHD NIH HHS
Grant: R01 MD016088
NCI NIH HHS
Grant: HHSN261201800009I
NCI NIH HHS
Grant: HHSN261201800015I
NCI NIH HHS
Grant: K08 CA270385
NCI NIH HHS
Grant: HHSN261201800015C
NCI NIH HHS
Grant: T32 CA251063
FWCI
0.70
Citation Percentile
0.7%
Citation Trend
Fields of Study
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