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Mendeley readers
Chapter title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009
|
---|---|
Chapter number | 52 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009
|
Published in |
Lecture notes in computer science, January 2009
|
DOI | 10.1007/978-3-642-04271-3_52 |
Book ISBNs |
978-3-64-204270-6, 978-3-64-204271-3
|
Authors |
Guang-Zhong Yang, David Hawkes, Daniel Rueckert, Alison Noble, Chris Taylor, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, Essa Yacoub, Kamil Ugurbil, Noam Harel, Aganj, Iman, Lenglet, Christophe, Sapiro, Guillermo, Yacoub, Essa, Ugurbil, Kamil, Harel, Noam |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 6% |
Spain | 2 | 6% |
Netherlands | 1 | 3% |
Singapore | 1 | 3% |
United Kingdom | 1 | 3% |
Unknown | 28 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 34% |
Researcher | 7 | 20% |
Professor | 2 | 6% |
Lecturer | 2 | 6% |
Professor > Associate Professor | 2 | 6% |
Other | 5 | 14% |
Unknown | 5 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 34% |
Engineering | 9 | 26% |
Neuroscience | 4 | 11% |
Physics and Astronomy | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 1 | 3% |
Unknown | 7 | 20% |