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Mendeley readers
| Chapter title |
How Unique and Traceable Are Usernames?
|
|---|---|
| Chapter number | 1 |
| Book title |
Privacy Enhancing Technologies
|
| Published in |
Lecture notes in computer science, July 2011
|
| DOI | 10.1007/978-3-642-22263-4_1 |
| Book ISBNs |
978-3-64-222262-7, 978-3-64-222263-4
|
| Authors |
Daniele Perito, Claude Castelluccia, Mohamed Ali Kaafar, Pere Manils |
| Editors |
Simone Fischer-Hübner, Nicholas Hopper |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| France | 1 | <1% |
| Canada | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 122 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 25% |
| Student > Master | 22 | 17% |
| Student > Bachelor | 17 | 13% |
| Researcher | 15 | 12% |
| Student > Doctoral Student | 6 | 5% |
| Other | 20 | 16% |
| Unknown | 15 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 89 | 70% |
| Engineering | 8 | 6% |
| Business, Management and Accounting | 3 | 2% |
| Physics and Astronomy | 3 | 2% |
| Arts and Humanities | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 16 | 13% |