Deep Learning to Estimate RECIST in Patients with NSCLC Treated with PD-1 Blockade is a research paper published in Cancer Discovery (2020). On theSindex it has a DataRank of 0.635. It has been cited 68 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.
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Base Score Contribution
0.635
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 →Memorial Sloan Kettering Cancer Center Support Grant
Grant: P30-CA008748
Memorial Sloan Kettering Cancer Center
Grant: T32-CA009207
Memorial Sloan Kettering Cancer Center
Grant: K30-UL1TR00457
Damon Runyon Cancer Research Foundation
Grant: CI-98-18
National Institutes of Health
Grant: 2P30CA008748-43
MOUSE GENETICS
National Institutes of Health
Grant: 5T32CA009207-43
Investigational Cancer Therapeutics Training Program
National Institutes of Health
Grant: 3UL1TR000457-08S1
Clinical and Translational Science Center
NCI NIH HHS
Grant: R25 CA020449
NCI NIH HHS
Grant: T32 CA009207
NCI NIH HHS
Grant: P30 CA008748
NCATS NIH HHS
Grant: UL1 TR002384
NCATS NIH HHS
Grant: KL2 TR002385
NCATS NIH HHS
Grant: UL1 TR000457
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals