Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks is a research paper published in Journal of the American Medical Informatics Association (2020). On theSindex it has a DataRank of 4.7. It has been cited 123 times, with 109 citing works in its 1-hop citation network.
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
0.723
From this paper's citation signal
Citation Network Contribution
4.0
From 95 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 109 citers.
National Institutes of Health
Grant: 5U24CA160036
National Institutes of Health
Grant: 5P50HG007735
FWCI
11.90
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals