| Title |
Automated generation of colluding apps for experimental research
|
|---|---|
| Published in |
Journal of Computer Virology and Hacking Techniques, April 2017
|
| DOI | 10.1007/s11416-017-0296-4 |
| Authors |
Jorge Blasco, Thomas M. Chen |
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 % |
|---|---|---|
| Nigeria | 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 26% |
| Researcher | 2 | 9% |
| Professor | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 5 | 22% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 57% |
| Engineering | 2 | 9% |
| Linguistics | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 22% |