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X Demographics
Mendeley readers
Chapter title |
Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images
|
---|---|
Chapter number | 22 |
Book title |
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-66185-8_22 |
Book ISBNs |
978-3-31-966184-1, 978-3-31-966185-8
|
Authors |
David Owen, Andrew Melbourne, Zach Eaton-Rosen, David L. Thomas, Neil Marlow, Jonathan Rohrer, Sebastien Ourselin, Owen, D, Melbourne, A, Eaton-Rosen, Z, Thomas, DL, Marlow, N, Rohrer, J, Ourselin, S |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 44% |
Student > Ph. D. Student | 2 | 22% |
Professor | 1 | 11% |
Lecturer > Senior Lecturer | 1 | 11% |
Unknown | 1 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 2 | 22% |
Engineering | 2 | 22% |
Neuroscience | 1 | 11% |
Unknown | 4 | 44% |