Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub is a dataset published in Epidemics (2024). On theSindex it has a DataRank of 0.363, placing it in the top 49.1% of the data-sharing corpus. It has been cited 6 times, with 4 citing works in its 1-hop citation network.
Ranks in the top 49% 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
0.292
From this paper's citation signal
Citation Network Contribution
0.0708
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 4 citers.
National Institutes of Health
Grant: 2R01GM109718-07
Detection and characterization of critical under-immunized hotspots
National Institutes of Health
Grant: U01CK000589
Centre Informatique National de l’Enseignement Supérieur
Grant: IIS-1955797
University of Virginia
Grant: SIF160
National Science Foundation
Grant: CCF-1918656
National Science Foundation
Grant: OAC-1916805
DTRA
PSC Partners Seeking a Cure
VDH
NSF
FWCI
2.05
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals