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Mendeley readers
Chapter title |
Learning Tensor-Based Features for Whole-Brain fMRI Classification
|
---|---|
Chapter number | 75 |
Book title |
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
|
Published in |
Lecture notes in computer science, November 2015
|
DOI | 10.1007/978-3-319-24553-9_75 |
Book ISBNs |
978-3-31-924552-2, 978-3-31-924553-9
|
Authors |
Xiaonan Song, Lingnan Meng, Qiquan Shi, Haiping Lu, Song, Xiaonan, Meng, Lingnan, Shi, Qiquan, Lu, Haiping |
Editors |
Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro F. Frangi |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 23% |
Student > Ph. D. Student | 2 | 15% |
Student > Postgraduate | 2 | 15% |
Researcher | 2 | 15% |
Professor | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 31% |
Mathematics | 2 | 15% |
Linguistics | 1 | 8% |
Social Sciences | 1 | 8% |
Engineering | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 31% |