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Mendeley readers
Chapter title |
Deep Learning-Based Feature Representation for AD/MCI Classification
|
---|---|
Chapter number | 72 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
|
Published by |
Springer, Berlin, Heidelberg, September 2013
|
DOI | 10.1007/978-3-642-40763-5_72 |
Pubmed ID | |
Book ISBNs |
978-3-64-240762-8, 978-3-64-240763-5
|
Authors |
Heung-Il Suk, Dinggang Shen, Suk, Heung-Il, Shen, Dinggang |
Mendeley readers
The data shown below were compiled from readership statistics for 382 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | <1% |
Colombia | 2 | <1% |
Malaysia | 2 | <1% |
Canada | 2 | <1% |
Netherlands | 1 | <1% |
Pakistan | 1 | <1% |
Germany | 1 | <1% |
United Kingdom | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 367 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 90 | 24% |
Student > Master | 65 | 17% |
Researcher | 44 | 12% |
Student > Bachelor | 30 | 8% |
Student > Postgraduate | 19 | 5% |
Other | 53 | 14% |
Unknown | 81 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 121 | 32% |
Engineering | 67 | 18% |
Neuroscience | 19 | 5% |
Medicine and Dentistry | 17 | 4% |
Agricultural and Biological Sciences | 14 | 4% |
Other | 31 | 8% |
Unknown | 113 | 30% |