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Mendeley readers
Chapter title |
Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets
|
---|---|
Chapter number | 38 |
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_38 |
Book ISBNs |
978-3-31-966184-1, 978-3-31-966185-8
|
Authors |
Matthew Sinclair, Wenjia Bai, Esther Puyol-Antón, Ozan Oktay, Daniel Rueckert, Andrew P. King |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 32% |
Researcher | 8 | 21% |
Student > Master | 4 | 11% |
Other | 2 | 5% |
Student > Postgraduate | 2 | 5% |
Other | 0 | 0% |
Unknown | 10 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 10 | 26% |
Computer Science | 5 | 13% |
Physics and Astronomy | 3 | 8% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Philosophy | 1 | 3% |
Other | 2 | 5% |
Unknown | 15 | 39% |