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X Demographics
Mendeley readers
| Title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
|---|---|
| Published by |
Springer International Publishing, January 2019
|
| DOI | 10.1007/978-3-030-32254-0 |
| ISBNs |
978-3-03-032253-3, 978-3-03-032254-0
|
| Editors |
Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 5 | 19% |
| United States | 4 | 15% |
| United Kingdom | 3 | 12% |
| Germany | 1 | 4% |
| Netherlands | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 11 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 58% |
| Scientists | 7 | 27% |
| Practitioners (doctors, other healthcare professionals) | 3 | 12% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 18% |
| Student > Ph. D. Student | 13 | 17% |
| Researcher | 7 | 9% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 4 | 5% |
| Other | 8 | 11% |
| Unknown | 25 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 30% |
| Engineering | 16 | 21% |
| Medicine and Dentistry | 5 | 7% |
| Business, Management and Accounting | 1 | 1% |
| Mathematics | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 29 | 38% |