Whole-cell modeling of E. coli colonies enables quantification of single-cell heterogeneity in antibiotic responses is a research paper published in PLoS Computational Biology (2023). On theSindex it has a DataRank of 0. It has been cited 13 times.
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.
Alfred P. Sloan Foundation
Grant: Matter-to-Life program
U.S. National Library of Medicine
Grant: R01LM013229
National Institute of General Medical Sciences
Grant: R01GM140008
National Institute of General Medical Sciences
Grant: F32GM137464
National Institutes of Health
Grant: T32GM136568
National Institutes of Health
Grant: 1T32GM136568-01A1
Molecular Biophysics Training Program at Stanford
National Institutes of Health
Grant: 1R01LM013229-01A1
Deep Curation via an Integrated Whole-Cell Computational Model
National Institutes of Health
Grant: 1R01GM140008-01A1
Multi-scale, model-driven exploration of sub-generational gene expression in bacteria: individual consequences, population benefits
National Institutes of Health
Grant: 1F32GM137464-01
Adding an environment and motility in a Whole Cell Model of Escherichia Coli
FWCI
2.80
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords