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X Demographics
Mendeley readers
Title |
COVID-19 diagnosis using deep learning neural networks applied to CT images
|
---|---|
Published in |
Frontiers in Artificial Intelligence, August 2022
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DOI | 10.3389/frai.2022.919672 |
Pubmed ID | |
Authors |
Andronicus A. Akinyelu, Pieter Blignaut |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
Switzerland | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 3 | 20% |
Student > Postgraduate | 2 | 13% |
Researcher | 2 | 13% |
Other | 1 | 7% |
Student > Ph. D. Student | 1 | 7% |
Other | 3 | 20% |
Unknown | 3 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 47% |
Environmental Science | 1 | 7% |
Social Sciences | 1 | 7% |
Materials Science | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Other | 0 | 0% |
Unknown | 4 | 27% |