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Mendeley readers
Chapter title |
Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging
|
---|---|
Chapter number | 33 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
|
Published by |
Springer, Cham, September 2014
|
DOI | 10.1007/978-3-319-10443-0_33 |
Book ISBNs |
978-3-31-910442-3, 978-3-31-910443-0
|
Authors |
Gemma L. Nedjati-Gilani, Torben Schneider, Matt G. Hall, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander |
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 % |
---|---|---|
United States | 1 | 3% |
Netherlands | 1 | 3% |
Germany | 1 | 3% |
Unknown | 32 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 23% |
Student > Ph. D. Student | 8 | 23% |
Other | 4 | 11% |
Student > Doctoral Student | 3 | 9% |
Student > Master | 3 | 9% |
Other | 4 | 11% |
Unknown | 5 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 17% |
Computer Science | 5 | 14% |
Engineering | 4 | 11% |
Physics and Astronomy | 4 | 11% |
Neuroscience | 2 | 6% |
Other | 4 | 11% |
Unknown | 10 | 29% |