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Mendeley readers
Chapter title |
Interactive Object Counting
|
---|---|
Chapter number | 33 |
Book title |
Computer Vision – ECCV 2014
|
Published by |
Springer, Cham, September 2014
|
DOI | 10.1007/978-3-319-10578-9_33 |
Book ISBNs |
978-3-31-910577-2, 978-3-31-910578-9
|
Authors |
Carlos Arteta, Victor Lempitsky, J. Alison Noble, Andrew Zisserman |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
France | 1 | <1% |
Unknown | 115 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 27% |
Student > Master | 13 | 11% |
Researcher | 12 | 10% |
Student > Postgraduate | 9 | 8% |
Student > Bachelor | 9 | 8% |
Other | 14 | 12% |
Unknown | 28 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 50 | 43% |
Engineering | 16 | 14% |
Physics and Astronomy | 4 | 3% |
Agricultural and Biological Sciences | 4 | 3% |
Environmental Science | 2 | 2% |
Other | 7 | 6% |
Unknown | 34 | 29% |