Predicting the effect of CRISPR-Cas9-based epigenome editing is a research paper published in eLife (2023). On theSindex it has a DataRank of 0.170. It has been cited 2 times, with 2 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.
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Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
5.41 × 10⁻³
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 2 citers.
National Institute of General Medical Sciences
Grant: R35-GM134922
National Institute of General Medical Sciences
Grant: R35-GM143532
NIGMS NIH HHS
Grant: R35 GM134922
NIGMS NIH HHS
Grant: R35 GM143532
National Institutes of Health
Grant: 5R35GM143532-04
Site-specific control of human gene regulation for therapeutically applicable mechanistic insights
National Institutes of Health
Grant: 3R35GM134922-05S1
Robust and efficient statistical inference methods for genomics
Fields of Study
MeSH Terms
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Sustainable Development Goals