The data shown below were collected from the profiles of 9 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 |
Deep Learning–Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability
|
---|---|
Published in |
Frontiers in Artificial Intelligence, June 2021
|
DOI | 10.3389/frai.2021.694875 |
Pubmed ID | |
Authors |
Dan Nguyen, Fernando Kay, Jun Tan, Yulong Yan, Yee Seng Ng, Puneeth Iyengar, Ron Peshock, Steve Jiang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 22% |
India | 1 | 11% |
Switzerland | 1 | 11% |
Unknown | 5 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 78% |
Scientists | 1 | 11% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 58 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 9% |
Student > Postgraduate | 4 | 7% |
Student > Master | 4 | 7% |
Student > Doctoral Student | 4 | 7% |
Researcher | 3 | 5% |
Other | 11 | 19% |
Unknown | 27 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 12% |
Computer Science | 6 | 10% |
Engineering | 4 | 7% |
Nursing and Health Professions | 3 | 5% |
Mathematics | 2 | 3% |
Other | 7 | 12% |
Unknown | 29 | 50% |