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Twitter Demographics
Mendeley readers
| Chapter title |
Modeling Players
|
|---|---|
| Chapter number | 5 |
| Book title |
Artificial Intelligence and Games
|
| Published by |
Springer, Cham, January 2018
|
| DOI | 10.1007/978-3-319-63519-4_5 |
| Book ISBNs |
978-3-31-963518-7, 978-3-31-963519-4
|
| Authors |
Georgios N. Yannakakis, Julian Togelius, Yannakakis, Georgios N., Togelius, Julian |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 10% |
| Unknown | 9 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 40% |
| Student > Bachelor | 2 | 20% |
| Student > Postgraduate | 1 | 10% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 40% |
| Business, Management and Accounting | 2 | 20% |
| Unknown | 4 | 40% |