The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Title |
SRflow: Deep learning based super-resolution of 4D-flow MRI data
|
---|---|
Published in |
Frontiers in Artificial Intelligence, August 2022
|
DOI | 10.3389/frai.2022.928181 |
Pubmed ID | |
Authors |
Suprosanna Shit, Judith Zimmermann, Ivan Ezhov, Johannes C. Paetzold, Augusto F. Sanches, Carolin Pirkl, Bjoern H. Menze |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 17% |
Student > Master | 3 | 10% |
Researcher | 3 | 10% |
Lecturer | 2 | 7% |
Other | 2 | 7% |
Other | 3 | 10% |
Unknown | 12 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 20% |
Computer Science | 5 | 17% |
Medicine and Dentistry | 2 | 7% |
Physics and Astronomy | 1 | 3% |
Mathematics | 1 | 3% |
Other | 2 | 7% |
Unknown | 13 | 43% |