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X Demographics
Mendeley readers
Title |
Clinical significance, challenges and limitations in using artificial intelligence for electrocardiography-based diagnosis
|
---|---|
Published in |
International Journal of Arrhythmia, October 2022
|
DOI | 10.1186/s42444-022-00075-x |
Pubmed ID | |
Authors |
Cheuk To Chung, Sharen Lee, Emma King, Tong Liu, Antonis A. Armoundas, George Bazoukis, Gary Tse |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 17% |
Turkey | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 3 | 12% |
Researcher | 3 | 12% |
Student > Ph. D. Student | 2 | 8% |
Lecturer | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 0 | 0% |
Unknown | 15 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 16% |
Medicine and Dentistry | 3 | 12% |
Engineering | 3 | 12% |
Unknown | 15 | 60% |