Single‐sequence‐based prediction of protein secondary structures and solvent accessibility by deep whole‐sequence learning is a research paper published in Journal of Computational Chemistry (2018). On theSindex it has a DataRank of 0.730. It has been cited 129 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
0.730
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.
Learn more about DataRank methodology →National Health and Medical Research Council
Grant: 1121629
Developing species-specific, structure-targeting peptides as a novel class of antibiotics
Australian Research Council
Grant: DP180102060
Discovery Projects - Grant ID: DP180102060
FWCI
5.11
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords