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X Demographics
Mendeley readers
| Title |
Machine Learning Models for the Classification of Sleep Deprivation Induced Performance Impairment During a Psychomotor Vigilance Task Using Indices of Eye and Face Tracking
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, April 2020
|
| DOI | 10.3389/frai.2020.00017 |
| Pubmed ID | |
| Authors |
Matthew S. Daley, David Gever, Hugo F. Posada-Quintero, Youngsun Kong, Ki Chon, Jeffrey B. Bolkhovsky |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Student > Master | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 12 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 3 | 14% |
| Medicine and Dentistry | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Social Sciences | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 11 | 52% |