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X Demographics
Mendeley readers
| Title |
Deep appearance models for face rendering
|
|---|---|
| Published in |
ACM Transactions on Graphics, July 2018
|
| DOI | 10.1145/3197517.3201401 |
| Authors |
Stephen Lombardi, Jason Saragih, Tomas Simon, Yaser Sheikh |
X Demographics
The data shown below were collected from the profiles of 7 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 | 14% |
| Japan | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 242 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 58 | 24% |
| Student > Master | 34 | 14% |
| Researcher | 33 | 14% |
| Student > Bachelor | 14 | 6% |
| Student > Doctoral Student | 9 | 4% |
| Other | 26 | 11% |
| Unknown | 68 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 125 | 52% |
| Engineering | 22 | 9% |
| Mathematics | 5 | 2% |
| Linguistics | 2 | <1% |
| Medicine and Dentistry | 2 | <1% |
| Other | 9 | 4% |
| Unknown | 77 | 32% |