Characterization of sequence determinants of enhancer function using natural genetic variation is a research paper published in eLife (2022). On theSindex it has a DataRank of 0.739. It has been cited 24 times, with 18 citing works in its 1-hop citation network.
Scored on demand from live citation data
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
0.483
From this paper's citation signal
Citation Network Contribution
0.256
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 18 citers.
National Institutes of Health
Grant: T32EY00711030
National Institutes of Health
Grant: T32AG000222
National Science Foundation
Grant: DGE0946799
National Science Foundation
Grant: DGE1144152
National Institutes of Health
Grant: R01 NS115965
National Institutes of Health
Grant: 5R01NS115965-05
Mechanisms Underlying Neuronal Enhancer Specification During Postnatal CNS Development
National Science Foundation
Grant: 1144152
Graduate Research Fellowship Program (GRFP)
National Science Foundation
Grant: 0946799
Graduate Research Fellowship Program
National Institutes of Health
Grant: 5T32AG000222-02
TRAINING IN THE MOLECULAR BIOLOGY OF NEURODEGENERATION
FWCI
1.88
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords