ODGI: understanding pangenome graphs is a research paper published in Bioinformatics (2022). On theSindex it has a DataRank of 3.8. It has been cited 211 times, with 156 citing works in its 1-hop citation network.
Scored on demand from live citation data
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
0.803
From this paper's citation signal
Citation Network Contribution
3.0
From 109 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 156 citers.
National Institutes of Health
Grant: NIDA U01DA047638
NIGMS
Grant: R01GM123489
NSF PPoSS
Grant: #2118709
German Network for Bioinformatics Infrastructure
Grant: 031A537B
German Network for Bioinformatics Infrastructure
Grant: 031A533A
German Network for Bioinformatics Infrastructure
Grant: 031A538A
German Network for Bioinformatics Infrastructure
Grant: 031A533B
German Network for Bioinformatics Infrastructure
Grant: 031A535A
German Network for Bioinformatics Infrastructure
Grant: 031A537C
German Network for Bioinformatics Infrastructure
Grant: 031A534A
German Network for Bioinformatics Infrastructure
Grant: 031A532B
NIDA NIH HHS
Grant: U01 DA047638
National Science Foundation
Grant: 2118709
Collaborative Research: PPoSS: LARGE: Panorama: Integrated Rack-Scale Acceleration for Computational Pangenomics
National Institutes of Health
Grant: 5U01DA047638-05
System genetics of menthol and nicotine addiction
National Institutes of Health
Grant: 1R01GM123489-01A1
A Unified High Performance Web Service for Systems Genetics and Precision Medicine
Federal Ministry for Economic Affairs and Energy of Germany
BMBF
FWCI
14.57
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals