You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| 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% |