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X Demographics
Mendeley readers
Chapter title |
Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics
|
---|---|
Chapter number | 47 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01270-0_47 |
Book ISBNs |
978-3-03-001269-4, 978-3-03-001270-0
|
Authors |
Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge, Kümmerer, Matthias, Wallis, Thomas S. A., Bethge, Matthias |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | <1% |
Unknown | 192 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 44 | 23% |
Researcher | 24 | 12% |
Student > Master | 24 | 12% |
Student > Doctoral Student | 11 | 6% |
Student > Bachelor | 9 | 5% |
Other | 18 | 9% |
Unknown | 63 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 73 | 38% |
Engineering | 18 | 9% |
Psychology | 11 | 6% |
Neuroscience | 9 | 5% |
Mathematics | 4 | 2% |
Other | 10 | 5% |
Unknown | 68 | 35% |