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X Demographics
Mendeley readers
Title |
Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images
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Published in |
Frontiers in Artificial Intelligence, February 2023
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DOI | 10.3389/frai.2023.1056422 |
Pubmed ID | |
Authors |
Patrick Thiam, Ludwig Lausser, Christopher Kloth, Daniel Blaich, Andreas Liebold, Meinrad Beer, Hans A. Kestler |
X Demographics
The data shown below were collected from the profiles of 2 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 States | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 1 | 14% |
Unspecified | 1 | 14% |
Student > Ph. D. Student | 1 | 14% |
Researcher | 1 | 14% |
Student > Master | 1 | 14% |
Other | 0 | 0% |
Unknown | 2 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 43% |
Unspecified | 1 | 14% |
Psychology | 1 | 14% |
Engineering | 1 | 14% |
Unknown | 1 | 14% |