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
| Title |
Computer Vision -- ACCV 2014
|
|---|---|
| Published by |
Springer International Publishing, April 2015
|
| DOI | 10.1007/978-3-319-16817-3 |
| ISBNs |
978-3-31-916816-6, 978-3-31-916817-3
|
| Editors |
Cremers, Daniel, Reid, Ian, Saito, Hideo, Yang, Ming-Hsuan |
Mendeley readers
The data shown below were compiled from readership statistics for 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Algeria | 2 | <1% |
| China | 2 | <1% |
| United States | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 227 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 69 | 30% |
| Student > Master | 40 | 17% |
| Researcher | 18 | 8% |
| Student > Bachelor | 18 | 8% |
| Student > Doctoral Student | 14 | 6% |
| Other | 28 | 12% |
| Unknown | 46 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 114 | 49% |
| Engineering | 47 | 20% |
| Agricultural and Biological Sciences | 3 | 1% |
| Earth and Planetary Sciences | 2 | <1% |
| Business, Management and Accounting | 2 | <1% |
| Other | 13 | 6% |
| Unknown | 52 | 22% |