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Mendeley readers
| Chapter title |
Advances, Challenges, and Opportunities in Automatic Facial Expression Recognition
|
|---|---|
| Chapter number | 4 |
| Book title |
Advances in Face Detection and Facial Image Analysis
|
| Published by |
Springer International Publishing, April 2016
|
| DOI | 10.1007/978-3-319-25958-1_4 |
| Book ISBNs |
978-3-31-925956-7, 978-3-31-925958-1
|
| Authors |
Brais Martinez, Michel F. Valstar |
| Editors |
Michal Kawulok, M. Emre Celebi, Bogdan Smolka |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | <1% |
| China | 1 | <1% |
| Slovakia | 1 | <1% |
| Unknown | 117 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 19% |
| Student > Master | 12 | 10% |
| Student > Bachelor | 11 | 9% |
| Researcher | 10 | 8% |
| Lecturer | 8 | 7% |
| Other | 21 | 18% |
| Unknown | 35 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 31% |
| Engineering | 14 | 12% |
| Psychology | 8 | 7% |
| Agricultural and Biological Sciences | 4 | 3% |
| Unspecified | 3 | 3% |
| Other | 12 | 10% |
| Unknown | 42 | 35% |