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| Title |
Computer Vision – ECCV 2016
|
|---|---|
| Published by |
Springer International Publishing, September 2016
|
| DOI | 10.1007/978-3-319-46487-9 |
| ISBNs |
978-3-31-946486-2, 978-3-31-946487-9
|
| Editors |
Leibe, Bastian, Matas, Jiri, Sebe, Nicu, Welling, Max |
Twitter Demographics
The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 163 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 35 | 21% |
| Student > Ph. D. Student | 27 | 17% |
| Student > Bachelor | 10 | 6% |
| Researcher | 10 | 6% |
| Student > Doctoral Student | 8 | 5% |
| Other | 27 | 17% |
| Unknown | 46 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 59 | 36% |
| Engineering | 36 | 22% |
| Earth and Planetary Sciences | 3 | 2% |
| Unspecified | 3 | 2% |
| Materials Science | 2 | 1% |
| Other | 7 | 4% |
| Unknown | 53 | 33% |