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
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% |