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X Demographics
Mendeley readers
Chapter title |
Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning
|
---|---|
Chapter number | 59 |
Book title |
Medical Image Computing and Computer-Assisted Intervention — MICCAI 2015
|
Published by |
Springer International Publishing, October 2015
|
DOI | 10.1007/978-3-319-24574-4_59 |
Book ISBNs |
978-3-31-924573-7, 978-3-31-924574-4
|
Authors |
Devis Peressutti, Wenjia Bai, Thomas Jackson, Manav Sohal, Aldo Rinaldi, Daniel Rueckert, Andrew King |
Editors |
Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro F. Frangi |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
Slovenia | 1 | 17% |
New Zealand | 1 | 17% |
Germany | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
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 % |
---|---|---|
United Kingdom | 1 | 11% |
Unknown | 8 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 56% |
Student > Bachelor | 1 | 11% |
Researcher | 1 | 11% |
Student > Doctoral Student | 1 | 11% |
Lecturer > Senior Lecturer | 1 | 11% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 44% |
Engineering | 2 | 22% |
Medicine and Dentistry | 2 | 22% |
Agricultural and Biological Sciences | 1 | 11% |