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X Demographics
Mendeley readers
Title |
Machine Learning for Medical Image Reconstruction
|
---|---|
Published by |
Springer International Publishing, November 2018
|
DOI | 10.1007/978-3-030-00129-2 |
ISBNs |
978-3-03-000128-5, 978-3-03-000129-2
|
Editors |
Knoll, Florian, Maier, Andreas, Rueckert, Daniel |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 11% |
China | 1 | 11% |
Spain | 1 | 11% |
Netherlands | 1 | 11% |
Unknown | 5 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 56% |
Practitioners (doctors, other healthcare professionals) | 2 | 22% |
Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 23% |
Student > Master | 7 | 12% |
Researcher | 7 | 12% |
Student > Doctoral Student | 4 | 7% |
Other | 3 | 5% |
Other | 4 | 7% |
Unknown | 21 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 16 | 27% |
Computer Science | 12 | 20% |
Medicine and Dentistry | 4 | 7% |
Physics and Astronomy | 2 | 3% |
Mathematics | 1 | 2% |
Other | 2 | 3% |
Unknown | 23 | 38% |