shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning is a research paper published in Patterns (2024). On theSindex it has a DataRank of 0.448. It has been cited 9 times, with 8 citing works in its 1-hop citation network.
Scored on demand from live citation data
Repositories this paper deposited data in (declared in PubMed).
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
0.345
From this paper's citation signal
Citation Network Contribution
0.103
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 8 citers.
National Institutes of Health
Grant: R01CA250227
National Institutes of Health
Grant: P30DK120531
National Institutes of Health
Grant: R01CA251155
National Institutes of Health
Grant: U01CA279618
National Institutes of Health
Grant: R00CA248944
Cancer Prevention and Research Institute of Texas
Grant: RP220662
Cancer Prevention and Research Institute of Texas
Grant: RP160732
Cancer Prevention and Research Institute of Texas
Grant: RP190346
NIH HHS
Grant: S10 OD028483
NCRR NIH HHS
Grant: UL1 RR025767
NCATS NIH HHS
Grant: UM1 TR004538
Office of the Director
Grant: P30CA047904
Office of the Director
Grant: P30CA054174
NIH HHS
Grant: R03 OD036494
Pittsburgh Liver Research Center, University of Pittsburgh
Leukemia Research Foundation
University of Pittsburgh
Fund for Innovation in Cancer Informatics
FWCI
2.25
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals