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Twitter Demographics
Mendeley readers
| Chapter title |
PRISM-games 3.0: Stochastic Game Verification with Concurrency, Equilibria and Time
|
|---|---|
| Chapter number | 25 |
| Book title |
Computer Aided Verification
|
| Published by |
Springer, Cham, July 2020
|
| DOI | 10.1007/978-3-030-53291-8_25 |
| Book ISBNs |
978-3-03-053290-1, 978-3-03-053291-8
|
| Authors |
Marta Kwiatkowska, Gethin Norman, David Parker, Gabriel Santos, Kwiatkowska, Marta, Norman, Gethin, Parker, David, Santos, Gabriel |
Twitter Demographics
The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 67% |
| Germany | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 31% |
| Student > Doctoral Student | 2 | 15% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Lecturer | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 54% |
| Mathematics | 1 | 8% |
| Economics, Econometrics and Finance | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 3 | 23% |