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Mendeley readers
| Chapter title |
Learning Imaging Biomarker Trajectories from Noisy Alzheimer’s Disease Data Using a Bayesian Multilevel Model
|
|---|---|
| Chapter number | 8 |
| Book title |
Bayesian and grAphical Models for Biomedical Imaging
|
| Published by |
Springer, Cham, January 2014
|
| DOI | 10.1007/978-3-319-12289-2_8 |
| Book ISBNs |
978-3-31-912288-5, 978-3-31-912289-2
|
| Authors |
Neil P. Oxtoby, Alexandra L. Young, Nick C. Fox, The Alzheimer’s Disease Neuroimaging Initiative, Pankaj Daga, David M. Cash, Sebastien Ourselin, Jonathan M. Schott, Daniel C. Alexander, Oxtoby, Neil P., Young, Alexandra L., Fox, Nick C., Daga, Pankaj, Cash, David M., Ourselin, Sebastien, Schott, Jonathan M., Alexander, Daniel C. |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 35% |
| Other | 2 | 12% |
| Researcher | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Student > Postgraduate | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 2 | 12% |
| Computer Science | 2 | 12% |
| Veterinary Science and Veterinary Medicine | 1 | 6% |
| Mathematics | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Other | 5 | 29% |
| Unknown | 5 | 29% |