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Twitter Demographics
Mendeley readers
Chapter title |
Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination
|
---|---|
Chapter number | 24 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-59716-0_24 |
Book ISBNs |
978-3-03-059715-3, 978-3-03-059716-0
|
Authors |
Qianye Yang, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Qingchao Chen, J. Alison Noble, Tom Vercauteren, Dean Barratt, Yipeng Hu, Yang, Q, Fu, Y, Giganti, F, Ghavami, N, Chen, Q, Noble, JA, Vercauteren, T, Barratt, D, Hu, Y, Yang, Qianye, Fu, Yunguan, Giganti, Francesco, Ghavami, Nooshin, Chen, Qingchao, Noble, J. Alison, Vercauteren, Tom, Barratt, Dean, Hu, Yipeng |
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 % |
---|---|---|
Unknown | 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 26% |
Researcher | 4 | 15% |
Student > Doctoral Student | 3 | 11% |
Student > Master | 3 | 11% |
Professor | 2 | 7% |
Other | 2 | 7% |
Unknown | 6 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 37% |
Engineering | 5 | 19% |
Mathematics | 2 | 7% |
Physics and Astronomy | 1 | 4% |
Unknown | 9 | 33% |