Multisite Technical and Clinical Performance Evaluation of Quantitative Imaging Biomarkers from 3D FDG PET Segmentations of Head and Neck Cancer Images is a research paper published in Tomography (2020). On theSindex it has a DataRank of 0.576. It has been cited 7 times, with 6 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
0.312
From this paper's citation signal
Citation Network Contribution
0.265
From 5 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 6 citers.
NIBIB NIH HHS
Grant: R01 EB004640
NCI NIH HHS
Grant: R50 CA211270
NCI NIH HHS
Grant: P30 CA008748
NCI NIH HHS
Grant: U01 CA140206
NCI NIH HHS
Grant: U01 CA148131
NCI NIH HHS
Grant: U24 CA180918
NCATS NIH HHS
Grant: UL1 TR002537
NCI NIH HHS
Grant: P30 CA086862
National Institutes of Health
Grant: 5R50CA211270-07
Core Laboratory for Advanced Cancer Image Analysis
National Institutes of Health
Grant: 5UL1TR002537-02
The University of Iowa Clinical and Translational Science Award
National Institutes of Health
Grant: 5U24CA180918-02
Quantitative Image Informatics for Cancer Research (QIICR)
National Institutes of Health
Grant: 5U01CA140206-09
Quantitative Imaging to Assess Response in Cancer Therapy Trials
National Institutes of Health
Grant: 1P30CA086862-01
Core--Clinical trials support group
FWCI
0.41
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Data From QIN-HEADNECK