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X Demographics
Mendeley readers
Title |
Computer Vision – ECCV 2018 Workshops
|
---|---|
Published by |
Springer International Publishing, March 2019
|
DOI | 10.1007/978-3-030-11009-3 |
ISBNs |
978-3-03-011008-6, 978-3-03-011009-3
|
Editors |
Leal-Taixé, Laura, Roth, Stefan |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 30% |
Czechia | 1 | 10% |
Netherlands | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Scientists | 3 | 30% |
Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 25% |
Researcher | 2 | 13% |
Student > Postgraduate | 2 | 13% |
Student > Ph. D. Student | 1 | 6% |
Professor > Associate Professor | 1 | 6% |
Other | 1 | 6% |
Unknown | 5 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 25% |
Engineering | 3 | 19% |
Neuroscience | 1 | 6% |
Unknown | 8 | 50% |