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Twitter Demographics
Mendeley readers
Chapter title |
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
|
---|---|
Chapter number | 60 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32245-8_60 |
Book ISBNs |
978-3-03-032244-1, 978-3-03-032245-8
|
Authors |
Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert, Bai, W., Chen, C., Tarroni, G., Duan, J., Guitton, F., Petersen, S. E., Guo, Y., Matthews, P. M., Rueckert, D., Bai, Wenjia, Chen, Chen, Tarroni, Giacomo, Duan, Jinming, Guitton, Florian, Petersen, Steffen E., Guo, Yike, Matthews, Paul M., Rueckert, Daniel |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter 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 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 167 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 43 | 26% |
Student > Master | 24 | 14% |
Researcher | 18 | 11% |
Student > Bachelor | 6 | 4% |
Professor | 6 | 4% |
Other | 17 | 10% |
Unknown | 53 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 56 | 34% |
Engineering | 25 | 15% |
Neuroscience | 4 | 2% |
Mathematics | 3 | 2% |
Medicine and Dentistry | 3 | 2% |
Other | 11 | 7% |
Unknown | 65 | 39% |