Closing the loop on crowdsourced science is a dataset published in Proceedings of the National Academy of Sciences (2022). On theSindex it has a DataRank of 0.349, placing it in the top 50.4% of the data-sharing corpus. It has been cited 5 times, with 5 citing works in its 1-hop citation network.
Ranks in the top 50% 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
0.269
From this paper's citation signal
Citation Network Contribution
0.0805
From 5 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 5 citers.
HHS | National Institutes of Health
Grant: DP2GM126892
HHS | National Institutes of Health
Grant: U01AI148319
HHS | National Institutes of Health
Grant: R01EB031893
Research Corporation for Science Advancement
Grant: 28422
National Science Foundation
Grant: 022329A
NIGMS NIH HHS
Grant: T32 GM130546
National Institutes of Health
Grant: 5U01AI148319-02
Rapid Low-Cost Paper-based Biodosimetry that reveals individual organ injuries
National Institutes of Health
Grant: 1R01EB031893-01
Model-guided design of RNA stabilizing elements for improved coronavirus diagnostics
National Institutes of Health
Grant: 5T32GM130546-04
Synthetic Biology and Biotechnology (SB2) Predoctoral Training Program
National Institutes of Health
Grant: 1DP2GM126892-01
Molecular Fuses for Real-Time, Label-Free, Multiplexed Imaging of RNAs in Living Cells
FWCI
0.78
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords