The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
Title |
EEG-TNet: An End-To-End Brain Computer Interface Framework for Mental Workload Estimation
|
---|---|
Published in |
Frontiers in Neuroscience, April 2022
|
DOI | 10.3389/fnins.2022.869522 |
Pubmed ID | |
Authors |
Chaojie Fan, Jin Hu, Shufang Huang, Yong Peng, Sam Kwong |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 22% |
Professor | 1 | 6% |
Student > Bachelor | 1 | 6% |
Researcher | 1 | 6% |
Unknown | 11 | 61% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 17% |
Psychology | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Decision Sciences | 1 | 6% |
Unknown | 12 | 67% |