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Mendeley readers
Chapter title |
Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis
|
---|---|
Chapter number | 69 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32251-9_69 |
Book ISBNs |
978-3-03-032250-2, 978-3-03-032251-9
|
Authors |
Tao Zhou, Mingxia Liu, Huazhu Fu, Jun Wang, Jianbing Shen, Ling Shao, Dinggang Shen, Zhou, Tao, Liu, Mingxia, Fu, Huazhu, Wang, Jun, Shen, Jianbing, Shao, Ling, Shen, Dinggang |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 23% |
Researcher | 3 | 12% |
Professor | 2 | 8% |
Lecturer | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 4 | 15% |
Unknown | 9 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 27% |
Environmental Science | 1 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Unspecified | 1 | 4% |
Social Sciences | 1 | 4% |
Other | 3 | 12% |
Unknown | 12 | 46% |