Impact of deep learning architectures on accelerated cardiac T1 mapping using MyoMapNet is a research paper published in NMR in Biomedicine (2022). On theSindex it has a DataRank of 0.416. It has been cited 15 times.
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
0.416
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 →American Heart Association
Grant: 15EIA22710040
National Institutes of Health
Grant: 1R01HL129185
National Institutes of Health
Grant: 1R01HL129157
National Institutes of Health
Grant: 1R01HL127015
National Institutes of Health
Grant: 1R01HL154744
FWCI
1.95
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords