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X Demographics
Mendeley readers
Chapter title |
Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information
|
---|---|
Chapter number | 25 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00928-1_25 |
Pubmed ID | |
Book ISBNs |
978-3-03-000927-4, 978-3-03-000928-1
|
Authors |
Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen, Xiang, Lei, Chen, Yong, Chang, Weitang, Zhan, Yiqiang, Lin, Weili, Wang, Qian, Shen, Dinggang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 19% |
Student > Master | 7 | 17% |
Researcher | 4 | 10% |
Other | 3 | 7% |
Lecturer | 1 | 2% |
Other | 1 | 2% |
Unknown | 18 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 11 | 26% |
Medicine and Dentistry | 3 | 7% |
Computer Science | 2 | 5% |
Neuroscience | 2 | 5% |
Social Sciences | 1 | 2% |
Other | 2 | 5% |
Unknown | 21 | 50% |