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X Demographics
Mendeley readers
Title |
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images
|
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Published in |
Frontiers in Artificial Intelligence, November 2021
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DOI | 10.3389/frai.2021.764047 |
Pubmed ID | |
Authors |
Alexander Wong, Jack Lu, Adam Dorfman, Paul McInnis, Mahmoud Famouri, Daniel Manary, James Ren Hou Lee, Michael Lynch |
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 | 1 | 33% |
Switzerland | 1 | 33% |
Unknown | 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 3 | 9% |
Student > Ph. D. Student | 3 | 9% |
Student > Bachelor | 3 | 9% |
Researcher | 3 | 9% |
Student > Master | 3 | 9% |
Other | 6 | 17% |
Unknown | 14 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 14% |
Agricultural and Biological Sciences | 4 | 11% |
Computer Science | 3 | 9% |
Engineering | 3 | 9% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Other | 4 | 11% |
Unknown | 14 | 40% |