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X Demographics
Mendeley readers
| Title |
Affective Response Categories—Toward Personalized Reactions in Affect-Adaptive Tutoring Systems
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, May 2022
|
| DOI | 10.3389/frai.2022.873056 |
| Pubmed ID | |
| Authors |
Alina Schmitz-Hübsch, Sophie-Marie Stasch, Ron Becker, Sven Fuchs, Maria Wirzberger |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 25% |
| United States | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 13% |
| Student > Ph. D. Student | 1 | 6% |
| Lecturer | 1 | 6% |
| Researcher | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 10 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 13% |
| Immunology and Microbiology | 1 | 6% |
| Psychology | 1 | 6% |
| Social Sciences | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 10 | 63% |