Predicting permeation of compounds across the outer membrane of P. aeruginosa using molecular descriptors is a research paper published in Communications Chemistry (2024). On theSindex it has a DataRank of 0.460. It has been cited 10 times, with 9 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
0.360
From this paper's citation signal
Citation Network Contribution
0.100
From 6 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 9 citers.
U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases
Grant: R01AI136799
U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases
Grant: R01AI136795
United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research
Grant: FA9550-20-1-0382
United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research
Grant: FA9550-20-1-0383
National Institutes of Health
Grant: 5R01AI136795-05
Predictive Models for Small-Molecule Accumulation in Gram-Negative Bacteria
National Institutes of Health
Grant: 5R01AI136799-04
Optimization of efflux avoidance and inhibition for antibiotic development
Fields of Study
Keywords
Sustainable Development Goals