National Cancer Institute Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation is a research paper published in Practical Radiation Oncology (2020). On theSindex it has a DataRank of 1.4. It has been cited 26 times, with 26 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
0.494
From this paper's citation signal
Citation Network Contribution
0.952
From 22 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 26 citers.
NIA NIH HHS
Grant: P30 AG059307
Radiologic Society of North America Research & Education Foundation Resident Research
Grant: #RR1843
CSRD VA
Grant: IK2 CX002049
National Institutes of Health
Grant: R01-CA233487
NCI NIH HHS
Grant: R37 CA222215
National Institutes of Health
Grant: R37-CA222215
NCI NIH HHS
Grant: R01 CA233487
National Institutes of Health
Grant: 5P30AG059307-03
Stanford Aging & Ethnogeriatrics Transdisciplinary Collaborative Center (SAGE)
National Institutes of Health
Grant: 5R37CA222215-07
Combined radiation acoustics and ultrasound imaging for real-time guidance in radiotherapy
National Institutes of Health
Grant: 5R01CA233487-06
Optimal Decision Making in Radiotherapy Using Panomics Analytics
Chan Zuckerberg Initiative
Agency for Health Research and Quality
American Cancer Society
National Science Foundation
FWCI
0.73
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals