Fibration symmetries uncover the building blocks of biological networks is a research paper published in Proceedings of the National Academy of Sciences (2020). On theSindex it has a DataRank of 1.0. It has been cited 48 times, with 31 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
0.584
From this paper's citation signal
Citation Network Contribution
0.417
From 21 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 31 citers.
HHS | NIH | National Institute of Biomedical Imaging and Bioengineering
Grant: R01EB022720
NSF | CISE | Division of Information and Intelligent Systems
Grant: 1515022
CRCNS: Targeted Stimulations in Brain Network of Networks
NCI NIH HHS
Grant: U54 CA132378
NCI NIH HHS
Grant: U54 CA137788
National Institutes of Health
Grant: 5U54CA137788-03
Planning and Evaluation
National Institutes of Health
Grant: 3R01EB022720-03S1
Supplement: Network Methods for Brain Imaging with Tumors
FWCI
1.50
Citation Percentile
0.8%
Influential Citations
5
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Fibration symmetries uncover the building blocks of biological networks