Learning single-cell chromatin accessibility profiles using meta-analytic marker genes is a dataset published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0.132, placing it in the top 70.7% 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 71% 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
0.0279
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 1 citer.
National Institutes of Health
Grant: 5R01MH113005-02
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Grant: 5R01LM012736-02
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National Institutes of Health
Grant: 5U19MH114821-05
A Comprehensive Center for Mouse Brain Cell Atlas
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