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X Demographics
Mendeley readers
| Chapter title |
Privacy-Preserving Face Recognition
|
|---|---|
| Chapter number | 14 |
| Book title |
Privacy Enhancing Technologies
|
| Published by |
Springer, Berlin, Heidelberg, August 2009
|
| DOI | 10.1007/978-3-642-03168-7_14 |
| Book ISBNs |
978-3-64-203167-0, 978-3-64-203168-7
|
| Authors |
Zekeriya Erkin, Martin Franz, Jorge Guajardo, Stefan Katzenbeisser, Inald Lagendijk, Tomas Toft |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Austria | 2 | 1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Spain | 1 | <1% |
| Germany | 1 | <1% |
| Japan | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 148 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 29% |
| Student > Master | 21 | 13% |
| Student > Bachelor | 16 | 10% |
| Researcher | 10 | 6% |
| Professor > Associate Professor | 7 | 4% |
| Other | 19 | 12% |
| Unknown | 41 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 87 | 54% |
| Engineering | 16 | 10% |
| Social Sciences | 3 | 2% |
| Mathematics | 2 | 1% |
| Agricultural and Biological Sciences | 2 | 1% |
| Other | 8 | 5% |
| Unknown | 43 | 27% |