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.
X Demographics
Mendeley readers
Title |
Computer Vision – ECCV 2018
|
---|---|
Published by |
Springer International Publishing, December 2018
|
DOI | 10.1007/978-3-030-01267-0 |
ISBNs |
978-3-03-001266-3, 978-3-03-001267-0
|
Editors |
Ferrari, Vittorio, Hebert, Martial, Sminchisescu, Cristian, Weiss, Yair |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Pakistan | 1 | 20% |
Japan | 1 | 20% |
Netherlands | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 15% |
Student > Doctoral Student | 3 | 9% |
Student > Master | 3 | 9% |
Lecturer | 1 | 3% |
Student > Bachelor | 1 | 3% |
Other | 3 | 9% |
Unknown | 18 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 32% |
Engineering | 3 | 9% |
Unspecified | 1 | 3% |
Unknown | 19 | 56% |