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Mendeley readers
| Chapter title |
Vida: How to Use Bayesian Inference to De-anonymize Persistent Communications
|
|---|---|
| Chapter number | 4 |
| Book title |
Privacy Enhancing Technologies
|
| Published by |
Springer, Berlin, Heidelberg, August 2009
|
| DOI | 10.1007/978-3-642-03168-7_4 |
| Book ISBNs |
978-3-64-203167-0, 978-3-64-203168-7
|
| Authors |
George Danezis, Carmela Troncoso |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 4% |
| Iran, Islamic Republic of | 1 | 2% |
| Zimbabwe | 1 | 2% |
| Unknown | 46 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 34% |
| Researcher | 9 | 18% |
| Student > Bachelor | 4 | 8% |
| Student > Master | 4 | 8% |
| Professor | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 6 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 38 | 76% |
| Engineering | 3 | 6% |
| Mathematics | 1 | 2% |
| Social Sciences | 1 | 2% |
| Physics and Astronomy | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 6 | 12% |