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Chapter title |
A Fully Bayesian Inference Framework for Population Studies of the Brain Microstructure
|
---|---|
Chapter number | 4 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
|
Published in |
Lecture notes in computer science, September 2014
|
DOI | 10.1007/978-3-319-10404-1_4 |
Pubmed ID | |
Book ISBNs |
978-3-31-910403-4, 978-3-31-910404-1
|
Authors |
Maxime Taquet, Benoît Scherrer, Jurriaan M. Peters, Sanjay P. Prabhu, Simon K. Warfield |
Editors |
Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 7% |
India | 1 | 3% |
Germany | 1 | 3% |
Canada | 1 | 3% |
United Kingdom | 1 | 3% |
Unknown | 24 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 27% |
Researcher | 6 | 20% |
Other | 4 | 13% |
Lecturer | 2 | 7% |
Professor | 2 | 7% |
Other | 5 | 17% |
Unknown | 3 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 23% |
Engineering | 7 | 23% |
Neuroscience | 3 | 10% |
Physics and Astronomy | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 2 | 7% |
Unknown | 9 | 30% |