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X Demographics
Mendeley readers
Title |
Predictive and generative neural networks for object functionality
|
---|---|
Published in |
ACM Transactions on Graphics, July 2018
|
DOI | 10.1145/3197517.3201287 |
Authors |
Ruizhen Hu, Zihao Yan, Jingwen Zhang, Oliver Van Kaick, Ariel Shamir, Hao Zhang, Hui Huang |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 53 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 34% |
Student > Ph. D. Student | 12 | 23% |
Researcher | 5 | 9% |
Student > Bachelor | 4 | 8% |
Student > Postgraduate | 2 | 4% |
Other | 3 | 6% |
Unknown | 9 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 34 | 64% |
Engineering | 6 | 11% |
Psychology | 1 | 2% |
Earth and Planetary Sciences | 1 | 2% |
Unknown | 11 | 21% |