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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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 140 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 31 | 22% |
Student > Ph. D. Student | 24 | 17% |
Researcher | 8 | 6% |
Student > Bachelor | 8 | 6% |
Student > Doctoral Student | 6 | 4% |
Other | 19 | 14% |
Unknown | 44 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 45 | 32% |
Engineering | 32 | 23% |
Earth and Planetary Sciences | 3 | 2% |
Environmental Science | 2 | 1% |
Materials Science | 2 | 1% |
Other | 5 | 4% |
Unknown | 51 | 36% |