You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Chapter title |
Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI
|
---|---|
Chapter number | 77 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32251-9_77 |
Book ISBNs |
978-3-03-032250-2, 978-3-03-032251-9
|
Authors |
Gavin Seegoolam, Jo Schlemper, Chen Qin, Anthony Price, Jo Hajnal, Daniel Rueckert, Seegoolam, Gavin, Schlemper, Jo, Qin, Chen, Price, Anthony, Hajnal, Jo, Rueckert, Daniel |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 57% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 43% |
Scientists | 2 | 29% |
Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 28% |
Researcher | 3 | 12% |
Student > Bachelor | 2 | 8% |
Student > Master | 2 | 8% |
Student > Doctoral Student | 1 | 4% |
Other | 2 | 8% |
Unknown | 8 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 24% |
Computer Science | 4 | 16% |
Mathematics | 1 | 4% |
Medicine and Dentistry | 1 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Other | 0 | 0% |
Unknown | 12 | 48% |