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Mendeley readers
Chapter title |
Learning to Detect Cells Using Non-overlapping Extremal Regions
|
---|---|
Chapter number | 43 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
|
Published by |
Springer, Berlin, Heidelberg, October 2012
|
DOI | 10.1007/978-3-642-33415-3_43 |
Book ISBNs |
978-3-64-233414-6, 978-3-64-233415-3
|
Authors |
Carlos Arteta, Victor Lempitsky, J. Alison Noble, Andrew Zisserman |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 1% |
Portugal | 1 | <1% |
Russia | 1 | <1% |
Spain | 1 | <1% |
Japan | 1 | <1% |
United States | 1 | <1% |
Unknown | 184 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 59 | 31% |
Researcher | 33 | 17% |
Student > Master | 27 | 14% |
Student > Bachelor | 10 | 5% |
Student > Doctoral Student | 8 | 4% |
Other | 26 | 14% |
Unknown | 28 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 82 | 43% |
Engineering | 32 | 17% |
Agricultural and Biological Sciences | 15 | 8% |
Biochemistry, Genetics and Molecular Biology | 6 | 3% |
Medicine and Dentistry | 6 | 3% |
Other | 16 | 8% |
Unknown | 34 | 18% |