The data shown below were compiled from readership statistics for 21 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 | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 24% |
| Unspecified | 2 | 10% |
| Professor | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 14% |
| Engineering | 3 | 14% |
| Psychology | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Decision Sciences | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 57% |