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X Demographics
Mendeley readers
Chapter title |
Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer’s Disease
|
---|---|
Chapter number | 63 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00928-1_63 |
Pubmed ID | |
Book ISBNs |
978-3-03-000927-4, 978-3-03-000928-1
|
Authors |
Lodewijk Brand, Hua Wang, Heng Huang, Shannon Risacher, Andrew Saykin, Li Shen, for the ADNI, Brand, Lodewijk, Wang, Hua, Huang, Heng, Risacher, Shannon, Saykin, Andrew, Shen, Li |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 19% |
Student > Master | 3 | 11% |
Researcher | 3 | 11% |
Lecturer | 2 | 7% |
Student > Doctoral Student | 2 | 7% |
Other | 7 | 26% |
Unknown | 5 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 41% |
Medicine and Dentistry | 4 | 15% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Physics and Astronomy | 1 | 4% |
Psychology | 1 | 4% |
Other | 2 | 7% |
Unknown | 7 | 26% |