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Mendeley readers
Chapter title |
Spatiotemporal Features for Effective Facial Expression Recognition
|
---|---|
Chapter number | 16 |
Book title |
Trends and Topics in Computer Vision
|
Published by |
Springer, Berlin, Heidelberg, September 2010
|
DOI | 10.1007/978-3-642-35749-7_16 |
Book ISBNs |
978-3-64-235748-0, 978-3-64-235749-7
|
Authors |
Hatice Çınar Akakın, Bülent Sankur, Akakın, Hatice Çınar, Sankur, Bülent |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 5% |
Malaysia | 1 | 5% |
France | 1 | 5% |
Singapore | 1 | 5% |
China | 1 | 5% |
Japan | 1 | 5% |
United States | 1 | 5% |
Unknown | 14 | 67% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 62% |
Student > Master | 3 | 14% |
Researcher | 2 | 10% |
Professor | 1 | 5% |
Student > Postgraduate | 1 | 5% |
Other | 0 | 0% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 71% |
Engineering | 4 | 19% |
Earth and Planetary Sciences | 1 | 5% |
Unknown | 1 | 5% |