Impact of artificial intelligence-based and traditional image preprocessing and resampling on MRI-based radiomics for classification of papillary thyroid carcinoma is a dataset published in BJR|Artificial Intelligence (2025). On theSindex it has a DataRank of 0.208, placing it in the top 64.8% of the data-sharing corpus. It has been cited 3 times, with 3 citing works in its 1-hop citation network.
Ranks in the top 65% 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
0.208
From this paper's citation signal
Citation Network Contribution
0
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →NIH
Grant: R21CA176660-01A1
NIH
Grant: NIH U01 CA211205
NCI NIH HHS
Grant: R21 CA176660
NCI NIH HHS
Grant: U01 CA211205
FWCI
1.91
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals