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Mendeley readers
Chapter title |
SpineNet: Automatically Pinpointing Classification Evidence in Spinal MRIs
|
---|---|
Chapter number | 20 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
|
Published by |
Springer, Cham, October 2016
|
DOI | 10.1007/978-3-319-46723-8_20 |
Book ISBNs |
978-3-31-946722-1, 978-3-31-946723-8
|
Authors |
Amir Jamaludin, Timor Kadir, Andrew Zisserman |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 1% |
Unknown | 92 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 23% |
Researcher | 14 | 15% |
Student > Master | 13 | 14% |
Student > Bachelor | 8 | 9% |
Student > Doctoral Student | 4 | 4% |
Other | 5 | 5% |
Unknown | 28 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 30 | 32% |
Engineering | 18 | 19% |
Medicine and Dentistry | 4 | 4% |
Agricultural and Biological Sciences | 3 | 3% |
Physics and Astronomy | 2 | 2% |
Other | 5 | 5% |
Unknown | 31 | 33% |