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Mendeley readers
| Chapter title |
Bayesian Model Selection for Pathological Data
|
|---|---|
| Chapter number | 41 |
| Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
|
| Published in |
Lecture notes in computer science, September 2014
|
| DOI | 10.1007/978-3-319-10404-1_41 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-910403-4, 978-3-31-910404-1
|
| Authors |
Carole H. Sudre, Manuel Jorge Cardoso, Willem Bouvy, Geert Jan Biessels, Josephine Barnes, Sébastien Ourselin |
| Editors |
Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 30% |
| Other | 4 | 17% |
| Researcher | 3 | 13% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 22% |
| Engineering | 5 | 22% |
| Medicine and Dentistry | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 5 | 22% |