Mapping early human blood cell differentiation using single-cell proteomics and transcriptomics is a dataset published in Science (2025). On theSindex it has a DataRank of 0.605, placing it in the top 32.6% of the data-sharing corpus. It has been cited 29 times, with 27 citing works in its 1-hop citation network.
Ranks in the top 33% 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
0.510
From this paper's citation signal
Citation Network Contribution
0.0951
From 6 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 27 citers.
FWCI
12.23
Citation Percentile
1.0%
Citation Trend
Fields of Study
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