A radiotherapy community data‐driven approach to determine which complexity metrics best predict the impact of atypical TPS beam modeling on clinical dose calculation accuracy is a dataset published in Journal of Applied Clinical Medical Physics (2024). On theSindex it has a DataRank of 0.477, placing it in the top 40% of the data-sharing corpus. It has been cited 16 times, with 8 citing works in its 1-hop citation network.
Ranks in the top 40% for downstream scientific impact
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
0.425
From this paper's citation signal
Citation Network Contribution
0.0521
From 2 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 Cancer Institute
Grant: CA180803
National Cancer Institute
Grant: CA214526
NCI NIH HHS
Grant: R01 CA214526
NCI NIH HHS
Grant: U24 CA180803
NIH HHS
National Institutes of Health
FWCI
6.33
Citation Percentile
1.0%
Influential Citations
1
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals