Optimal machine learning methods for radiomic prediction models: Clinical application for preoperative T2*‐weighted images of cervical spondylotic myelopathy is a research paper published in JOR SPINE (2021). On theSindex it has a DataRank of 0.425. It has been cited 16 times.
Scored on demand from live citation data
Linked data & code
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
0.425
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 →Natural Science Foundation of Beijing Municipality
Grant: BYSY2018003
Natural Science Foundation of Beijing Municipality
Grant: BYSYZHKC2020116
Natural Science Foundation of Beijing Municipality
Grant: 7204327
Natural Science Foundation of Beijing Municipality
Grant: Z190020
National Natural Science Foundation of China
Grant: 82102638
Natural Science Foundation of Beijing Municipality
FWCI
1.42
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals