Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects is a research paper published in Cell Reports Methods (2022). On theSindex it has a DataRank of 0.737. It has been cited 20 times, with 20 citing works in its 1-hop citation network.
Scored on demand from live citation data
Repositories this paper deposited data in (declared in PubMed).
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
0.280
From 14 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 20 citers.
Fonds Wetenschappelijk Onderzoek
Grant: 1246220N
National Institutes of Health
Grant: R01 DC007235
National Institutes of Health
Grant: 5R01DC007235-13
Programs of Gene Expression in Olfactory Neurogenesis
Fields of Study
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