A Deep Learning Model for Automated Classification of Intraoperative Continuous EMG is a research paper published in IEEE Transactions on Medical Robotics and Bionics (2020). On theSindex it has a DataRank of 0. It has been cited 42 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.
U.S. National Institutes of Health
Grant: R01EB000526
U.S. National Institutes of Health
Grant: R21EB012209
U.S. National Institutes of Health
Grant: R01HL078839
U.S. National Institutes of Health
Grant: R01EB024564
FWCI
3.26
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles
Additional file 1 of Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles
Additional file 2 of Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles
Additional file 2 of Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles