Machine learning sequence prioritization for cell type-specific enhancer design is a research paper published in eLife (2022). On theSindex it has a DataRank of 0.992. It has been cited 30 times, with 17 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
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
0.515
From this paper's citation signal
Citation Network Contribution
0.477
From 15 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 17 citers.
National Institutes of Health
Grant: UG3-MH-120094
National Institutes of Health
Grant: 1DP1DA046585
National Science Foundation
Grant: DGE1745016
National Institute on Drug Abuse
Grant: 1F30DA053020
National Institute of Mental Health
Grant: MH096985
NIDA NIH HHS
Grant: DP1 DA046585
NIMH NIH HHS
Grant: UG3 MH120094
NIDA NIH HHS
Grant: F30 DA053020
NIMH NIH HHS
Grant: R01 MH119701
NIMH NIH HHS
Grant: R01 MH096985
FWCI
2.35
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords