Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease is a research paper published in Frontiers in Neurology (2020). On theSindex it has a DataRank of 0.665. It has been cited 83 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.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.665
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 →NIA NIH HHS
Grant: U01 AG024904
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
Canadian Institutes of Health Research
Grant: unidentified
unidentified
FWCI
3.94
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals