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X Demographics
Mendeley readers
| Title |
State-Aware Deep Item Response Theory using student facial features
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, January 2024
|
| DOI | 10.3389/frai.2023.1324279 |
| Pubmed ID | |
| Authors |
Yan Zhou, Kenji Suzuki, Shiro Kumano |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 7 | 39% |
| Other | 1 | 6% |
| Lecturer | 1 | 6% |
| Professor | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 7 | 39% |
| Engineering | 3 | 17% |
| Computer Science | 2 | 11% |
| Energy | 1 | 6% |
| Unknown | 5 | 28% |