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X Demographics
Mendeley readers
Chapter title |
Learn to Track: Deep Learning for Tractography
|
---|---|
Chapter number | 62 |
Book title |
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-66182-7_62 |
Book ISBNs |
978-3-31-966181-0, 978-3-31-966182-7
|
Authors |
Philippe Poulin, Marc-Alexandre Côté, Jean-Christophe Houde, Laurent Petit, Peter F. Neher, Klaus H. Maier-Hein, Hugo Larochelle, Maxime Descoteaux |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 84 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 24% |
Student > Master | 12 | 14% |
Researcher | 9 | 11% |
Professor | 7 | 8% |
Student > Postgraduate | 6 | 7% |
Other | 14 | 17% |
Unknown | 16 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 24 | 29% |
Engineering | 13 | 15% |
Neuroscience | 10 | 12% |
Medicine and Dentistry | 4 | 5% |
Agricultural and Biological Sciences | 3 | 4% |
Other | 7 | 8% |
Unknown | 23 | 27% |