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| Title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
|---|---|
| Published by |
Springer International Publishing, January 2020
|
| DOI | 10.1007/978-3-030-59716-0 |
| ISBNs |
978-3-03-059715-3, 978-3-03-059716-0
|
| Editors |
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz |
Twitter Demographics
The data shown below were collected from the profiles of 26 tweeters 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 | 12% |
| Canada | 3 | 12% |
| United States | 2 | 8% |
| Netherlands | 1 | 4% |
| Ireland | 1 | 4% |
| United Arab Emirates | 1 | 4% |
| Japan | 1 | 4% |
| Italy | 1 | 4% |
| Uruguay | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 10 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 54% |
| Scientists | 7 | 27% |
| Practitioners (doctors, other healthcare professionals) | 5 | 19% |