Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation is a research paper published in Proceedings of the National Academy of Sciences (2022). On theSindex it has a DataRank of 0.571. It has been cited 44 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.
Base Score Contribution
0.571
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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Grant: N/A
NIH
Grant: EB014976
ONR
Grant: N000141612333
NIBIB NIH HHS
Grant: P41 EB027062
NIBIB NIH HHS
Grant: U01 EB014976
National Institutes of Health
Grant: 5U01EB014976-03
Models to predict protein biomaterial performance
National Institutes of Health
Grant: 5P41EB027062-03
Tissue Engineering Resource Center
FWCI
2.63
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords