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| Chapter title |
An Automated System for Detecting and Measuring Nailfold Capillaries
|
|---|---|
| Chapter number | 82 |
| 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_82 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-910403-4, 978-3-31-910404-1
|
| Authors |
Berks M, Tresadern P, Dinsdale G, Murray A, Moore T, Herrick A, Taylor C, Michael Berks, Phil Tresadern, Graham Dinsdale, Andrea Murray, Tonia Moore, Ariane Herrick, Chris Taylor |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 59 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 10 | 16% |
| Student > Ph. D. Student | 8 | 13% |
| Researcher | 7 | 11% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 6 | 10% |
| Other | 11 | 18% |
| Unknown | 13 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 21% |
| Engineering | 12 | 20% |
| Computer Science | 9 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Physics and Astronomy | 4 | 7% |
| Other | 4 | 7% |
| Unknown | 15 | 25% |