Evaluating algorithmic bias on biomarker classification of breast cancer pathology reports is a dataset published in JAMIA Open (2025). On theSindex it has a DataRank of 0.104, placing it in the top 77.8% of the data-sharing corpus. It has been cited 1 time, with 1 citing works in its 1-hop citation network.
Ranks in the top 78% 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
0.104
From this paper's citation signal
Citation Network Contribution
0
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →National Laboratory
Grant: DE-AC02-06-CH11357
NCCDPHP CDC HHS
Grant: U58 DP003907
Los Alamos National Laboratory
Grant: DE-AC5206NA25396
NCCDPHP CDC HHS
Grant: U48 DP000063
Oak Ridge National Laboratory
Grant: DE-AC05-00OR22725
Lawrence Livermore National Laboratory
Grant: DEAC52-07NA27344
National Cancer Institute
National Institutes of Health
Department of Energy
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