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X Demographics
Mendeley readers
Title |
Self-refining games using player analytics
|
---|---|
Published in |
ACM Transactions on Graphics, July 2014
|
DOI | 10.1145/2601097.2601196 |
Authors |
Matt Stanton, Ben Humberston, Brandon Kase, James F. O'Brien, Kayvon Fatahalian, Adrien Treuille |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Korea, Democratic People's Republic of | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Germany | 1 | 2% |
South Africa | 1 | 2% |
Canada | 1 | 2% |
Unknown | 50 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 28% |
Student > Master | 8 | 15% |
Researcher | 8 | 15% |
Student > Bachelor | 5 | 9% |
Professor | 4 | 7% |
Other | 7 | 13% |
Unknown | 7 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 37 | 69% |
Engineering | 6 | 11% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Neuroscience | 1 | 2% |
Psychology | 1 | 2% |
Other | 0 | 0% |
Unknown | 8 | 15% |