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Mendeley readers
Chapter title |
Semi-supervised Feature Selection for Gender Classification
|
---|---|
Chapter number | 3 |
Book title |
Computer Vision – ACCV 2009
|
Published by |
Springer, Berlin, Heidelberg, September 2009
|
DOI | 10.1007/978-3-642-12304-7_3 |
Book ISBNs |
978-3-64-212303-0, 978-3-64-212304-7
|
Authors |
Jing Wu, William A. P. Smith, Edwin R. Hancock |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 2 | 4% |
Turkey | 1 | 2% |
Germany | 1 | 2% |
United Kingdom | 1 | 2% |
United States | 1 | 2% |
Unknown | 44 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 44% |
Student > Master | 8 | 16% |
Researcher | 6 | 12% |
Professor | 3 | 6% |
Other | 2 | 4% |
Other | 5 | 10% |
Unknown | 4 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 39 | 78% |
Engineering | 4 | 8% |
Agricultural and Biological Sciences | 1 | 2% |
Unknown | 6 | 12% |