Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths is a research paper published in Bioinformatics (2017). On theSindex it has a DataRank of 0.747. It has been cited 144 times.
Scored on demand from live citation data
Linked data & code
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
0.747
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 →Natural Science Foundation of China
Grant: 61572098 and 61572102
FWCI
7.40
Citation Percentile
1.0%
Influential Citations
8
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
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Additional file 1 of Performance improvement for a 2D convolutional neural network by using SSC encoding on protein–protein interaction tasks
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Additional file 1 of Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature
Additional file 1 of Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature