You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Deep Spectral-Based Shape Features for Alzheimer’s Disease Classification
|
---|---|
Chapter number | 2 |
Book title |
Spectral and Shape Analysis in Medical Imaging
|
Published by |
Springer, Cham, October 2016
|
DOI | 10.1007/978-3-319-51237-2_2 |
Book ISBNs |
978-3-31-951236-5, 978-3-31-951237-2
|
Authors |
Mahsa Shakeri, Herve Lombaert, Shashank Tripathi, Samuel Kadoury, for the Alzheimer’s Disease Neuroimaging Initiative |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 23% |
Student > Master | 7 | 20% |
Student > Bachelor | 3 | 9% |
Student > Postgraduate | 3 | 9% |
Student > Doctoral Student | 1 | 3% |
Other | 4 | 11% |
Unknown | 9 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 23% |
Engineering | 6 | 17% |
Psychology | 2 | 6% |
Medicine and Dentistry | 2 | 6% |
Decision Sciences | 1 | 3% |
Other | 2 | 6% |
Unknown | 14 | 40% |