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.
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Mendeley readers
| Title |
A High-Precision Machine Learning Algorithm to Classify Left and Right Outflow Tract Ventricular Tachycardia
|
|---|---|
| Published in |
Frontiers in Physiology, February 2021
|
| DOI | 10.3389/fphys.2021.641066 |
| Pubmed ID | |
| Authors |
Jianwei Zheng, Guohua Fu, Islam Abudayyeh, Magdi Yacoub, Anthony Chang, William W. Feaster, Louis Ehwerhemuepha, Hesham El-Askary, Xianfeng Du, Bin He, Mingjun Feng, Yibo Yu, Binhao Wang, Jing Liu, Hai Yao, Huimin Chu, Cyril Rakovski |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 16% |
| Student > Doctoral Student | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Student > Ph. D. Student | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 3 | 12% |
| Medicine and Dentistry | 3 | 12% |
| Computer Science | 3 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 52% |