A limited set of transcriptional programs define major cell types is a dataset published in Genome Research (2020). On theSindex it has a DataRank of 1.2, placing it in the top 16.8% of the data-sharing corpus. It has been cited 38 times, with 32 citing works in its 1-hop citation network.
Ranks in the top 17% for downstream scientific impact
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
0.550
From this paper's citation signal
Citation Network Contribution
0.668
From 26 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 32 citers.
NIMH NIH HHS
Grant: R01 MH101814
NHGRI NIH HHS
Grant: U54 HG007004
National Human Genome Research Institute
Grant: U41HG007234
NCI NIH HHS
Grant: P30 CA045508
European Research Council
Grant: 294653
Uncovering and understanding RNA through Massively Parallel Sequencing
National Institutes of Health
Grant: 5U41HG007234-04
GENCODE: comprehensive gene annotation for human and mouse
National Institutes of Health
Grant: 5U54HG007004-03
Landscape of transcription in human and mouse
National Institutes of Health
Grant: 5R01MH101814-02
Methods for high-resolution analysis of genetic effects on gene expression
National Institutes of Health
Grant: 5U41HG007234-08
GENCODE: comprehensive genome annotation for human and mouse
MeSH Terms
Keywords
Sustainable Development Goals