An approachable, flexible and practical machine learning workshop for biologists is a research paper published in Bioinformatics (2022). On theSindex it has a DataRank of 0.344. It has been cited 5 times, with 5 citing works in its 1-hop citation network.
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
0.269
From this paper's citation signal
Citation Network Contribution
0.0755
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 5 citers.
National Institutes of Health
Grant: T15LM007359
National Science Foundation
Grant: DBI 1553206
National Institutes of Health
Grant: 3T15LM007359-06S2
Research Training for Computation and Informatics in Biology and Medicine
Morgridge Institute for Research and the University of Wisconsin-Madison Office of the Vice Chancellor for Research and Graduate Education
Wisconsin Alumni Research Foundation
FWCI
0.31
Citation Percentile
0.5%
Citation Trend
Fields of Study
MeSH Terms
Keywords
gitter-lab/ml4bio: Version 0.1.6
gitter-lab/ml4bio: Version 0.1.6