Title |
SherlockDroid: a research assistant to spot unknown malware in Android marketplaces
|
---|---|
Published in |
Journal of Computer Virology and Hacking Techniques, July 2015
|
DOI | 10.1007/s11416-015-0245-z |
Authors |
Axelle Apvrille, Ludovic Apvrille |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 14% |
China | 1 | 7% |
Italy | 1 | 7% |
United Kingdom | 1 | 7% |
Unknown | 9 | 64% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 79% |
Scientists | 3 | 21% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 4% |
Germany | 1 | 4% |
Unknown | 24 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 19% |
Student > Ph. D. Student | 4 | 15% |
Student > Doctoral Student | 3 | 12% |
Student > Bachelor | 2 | 8% |
Other | 2 | 8% |
Other | 4 | 15% |
Unknown | 6 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 54% |
Engineering | 2 | 8% |
Economics, Econometrics and Finance | 1 | 4% |
Chemistry | 1 | 4% |
Psychology | 1 | 4% |
Other | 0 | 0% |
Unknown | 7 | 27% |