Multiband EEG signatures decoded using machine learning for predicting rTMS treatment response in MDD is a research paper published in Journal of Affective Disorders (2025). On theSindex it has a DataRank of 0.241. It has been cited 4 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
0.241
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 →National Institutes of Health
Grant: R01MH132784
National Institutes of Health
Grant: R01MH125886
National Institutes of Health
Grant: R21AG080425
National Institutes of Health
Grant: R21MH130956
National Institutes of Health
Grant: R01MH129694
National Science Foundation
Grant: 2019035
CC* Compute: Acquisition of a Lehigh University HPC cluster to enhance collaboration, research productivity and educational impact
Lehigh University
Grant: FIGAWD35
Alzheimer's Association
Grant: AARG-22-972541
The SEAL Awards
One Mind
Brain and Behavior Research Foundation
FWCI
1.90
Citation Percentile
0.9%
Influential Citations
1
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals