KinderMiner Web: a simple web tool for ranking pairwise associations in biomedical applications is a research paper published in F1000Research (2021). On theSindex it has a DataRank of 0.269. It has been cited 5 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
Base Score Contribution
0.269
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 βNational Institute of General Medical Sciences
Grant: R01GM097618-05
National Institutes of Health
Grant: UH3TR000506-05
NCATS NIH HHS
Grant: UH3 TR000506
NIGMS NIH HHS
Grant: R01 GM097618
National Institutes of Health
Grant: 1R01GM097618-01
Machine Learning for Identifying Adverse Drug Events
National Institutes of Health
Grant: 5UH3TR000506-04
Human iPS/ES Cell-Based Models for Predictive Neural Toxicity and Teratogenicity
Marv Conney
FWCI
0.37
Citation Percentile
0.6%
Citation Trend
Fields of Study
Keywords