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Mendeley readers
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 63 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 | 61 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 10 | 16% |
Student > Ph. D. Student | 9 | 14% |
Researcher | 8 | 13% |
Student > Bachelor | 6 | 10% |
Student > Master | 6 | 10% |
Other | 11 | 17% |
Unknown | 13 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 21% |
Engineering | 12 | 19% |
Computer Science | 11 | 17% |
Biochemistry, Genetics and Molecular Biology | 4 | 6% |
Physics and Astronomy | 4 | 6% |
Other | 4 | 6% |
Unknown | 15 | 24% |