GalaxyWater-CNN: Prediction of Water Positions on the Protein Structure by a 3D-Convolutional Neural Network is a research paper published in Journal of Chemical Information and Modeling (2022). On theSindex it has a DataRank of 0.584. It has been cited 48 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
0.584
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 Research Foundation of Korea
Grant: 2020M3A9G7103933
National Research Foundation of Korea
Grant: 2021-0-02068
Korea Institute of Science and Technology Information
Grant: KSC-2017-C3-0082
FWCI
3.22
Citation Percentile
0.9%
Influential Citations
1
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals