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Mendeley readers
Chapter title |
Where Should Saliency Models Look Next?
|
---|---|
Chapter number | 49 |
Book title |
Computer Vision – ECCV 2016
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-46454-1_49 |
Book ISBNs |
978-3-31-946453-4, 978-3-31-946454-1
|
Authors |
Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand, Bylinskii, Zoya, Recasens, Adrià, Borji, Ali, Oliva, Aude, Torralba, Antonio, Durand, Frédo |
Editors |
Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | <1% |
Unknown | 103 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 41 | 39% |
Student > Master | 19 | 18% |
Researcher | 11 | 11% |
Student > Bachelor | 7 | 7% |
Professor > Associate Professor | 5 | 5% |
Other | 9 | 9% |
Unknown | 12 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 53 | 51% |
Engineering | 15 | 14% |
Psychology | 4 | 4% |
Agricultural and Biological Sciences | 2 | 2% |
Linguistics | 2 | 2% |
Other | 12 | 12% |
Unknown | 16 | 15% |