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Timeline
X Demographics
Mendeley readers
Title |
Using Facial Landmark Detection on Thermal Images as a Novel Prognostic Tool for Emergency Departments
|
---|---|
Published in |
Frontiers in Artificial Intelligence, April 2022
|
DOI | 10.3389/frai.2022.815333 |
Pubmed ID | |
Authors |
Ruben Baskaran, Karim Møller, Uffe Kock Wiil, Mikkel Brabrand |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 15% |
Researcher | 2 | 10% |
Student > Bachelor | 1 | 5% |
Professor | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 0 | 0% |
Unknown | 12 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 10% |
Nursing and Health Professions | 2 | 10% |
Medicine and Dentistry | 2 | 10% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Computer Science | 1 | 5% |
Other | 0 | 0% |
Unknown | 12 | 60% |