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X Demographics
Mendeley readers
| Title |
EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-Time Facial Expression Recognition
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, January 2021
|
| DOI | 10.3389/frai.2020.609673 |
| Pubmed ID | |
| Authors |
James Ren Lee, Linda Wang, Alexander Wong |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 13% |
| Other | 4 | 8% |
| Student > Master | 4 | 8% |
| Professor > Associate Professor | 2 | 4% |
| Researcher | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 25 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 15% |
| Engineering | 5 | 10% |
| Business, Management and Accounting | 2 | 4% |
| Psychology | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 27 | 56% |