You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Detecting Sybil attacks in vehicular networks
|
|---|---|
| Published in |
Journal of Trust Management, May 2014
|
| DOI | 10.1186/2196-064x-1-4 |
| Authors |
Muhammad Al-Mutaz, Levi Malott, Sriram Chellappan |
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 % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 27% |
| Researcher | 5 | 19% |
| Student > Master | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Lecturer | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 6 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 58% |
| Engineering | 3 | 12% |
| Earth and Planetary Sciences | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Unknown | 6 | 23% |