The impact of stage-related features in melanoma recurrence prediction: A machine learning approach is a research paper published in JAAD International (2022). On theSindex it has a DataRank of 0.208. It has been cited 3 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
0.208
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 →U.S. Department of Defense
Grant: W81XWH2110819
NHLBI NIH HHS
Grant: R01 HL174679
NIGMS NIH HHS
Grant: R35 GM142879
National Institutes of Health
Grant: 5R35GM142879-04
Robust, Generalizable, and Fair Machine Learning Models for Biomedicine
National Institutes of Health
National Institute of General Medical Sciences
Dermatology Foundation
FWCI
0.19
Citation Percentile
0.5%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals