Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships is a research paper published in Journal of Chemical Information and Modeling (2015). On theSindex it has a DataRank of 1.1. It has been cited 1,178 times.
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Base Score Contribution
1.1
From this paper's citation signal
Citation Network Contribution
0
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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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73.75
Citation Percentile
1.0%
Citation Trend
Fields of Study
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Sustainable Development Goals
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