Graph diffusion distance: Properties and efficient computation is a research paper published in PLoS ONE (2021). On theSindex it has a DataRank of 0. It has been cited 10 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
National Science Foundation
Grant: NRT-1633631
Human Frontiers Science Program
Grant: HFSP - RGP0023/2018
National Institute of Aging
Grant: R56AG059602
National Institute of Health
Grant: R01 HD073179
United States Air Force
Grant: FA8750-14-C-0011
NIEHS NIH HHS
Grant: 27398C0011
NIEHS NIH HHS
Grant: 27307C0011
NIEHS NIH HHS
Grant: 27305C0011
National Institutes of Health
Grant: 5R01HD073179-02
Deciphering the gene regulatory network controlling vertebrate endodermal fates
National Institutes of Health
Grant: 1R56AG059602-01
Machine Learning for Generalized Multiscale Modeling
University of California, Irvine
FWCI
1.16
Citation Percentile
0.8%
Influential Citations
2
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals