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Mendeley readers
| Chapter title |
Machine Learning Techniques for AD/MCI Diagnosis and Prognosis
|
|---|---|
| Chapter number | 8 |
| Book title |
Machine Learning in Healthcare Informatics
|
| Published by |
Springer, Berlin, Heidelberg, January 2014
|
| DOI | 10.1007/978-3-642-40017-9_8 |
| Book ISBNs |
978-3-64-240016-2, 978-3-64-240017-9
|
| Authors |
Dinggang Shen, Chong-Yaw Wee, Daoqiang Zhang, Luping Zhou, Pew-Thian Yap |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 30 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 19% |
| Researcher | 5 | 16% |
| Professor > Associate Professor | 5 | 16% |
| Lecturer | 3 | 9% |
| Student > Master | 3 | 9% |
| Other | 3 | 9% |
| Unknown | 7 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 28% |
| Engineering | 5 | 16% |
| Neuroscience | 5 | 16% |
| Physics and Astronomy | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 28% |