Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration is a research paper published in Communications Biology (2021). On theSindex it has a DataRank of 4.9. It has been cited 223 times, with 200 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
0.812
From this paper's citation signal
Citation Network Contribution
4.1
From 163 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 200 citers.
U.S. Department of Health & Human Services | National Institutes of Health
Grant: R01AG058630
U.S. Department of Health & Human Services | National Institutes of Health
Grant: 1DP2AI138242
U.S. Department of Health & Human Services | National Institutes of Health
Grant: T32EB023860
NIAID NIH HHS
Grant: DP2 AI138242
NICHD NIH HHS
Grant: T32 HD057854
U.S. Department of Health & Human Services | National Institutes of Health
MeSH Terms