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Mendeley readers
| Title |
Forecasting one-day-forward wellness conditions for community-dwelling elderly with single lead short electrocardiogram signals
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2019
|
| DOI | 10.1186/s12911-019-1012-8 |
| Pubmed ID | |
| Authors |
Xiaomao Fan, Yang Zhao, Hailiang Wang, Kwok Leung Tsui |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 12% |
| Student > Doctoral Student | 5 | 10% |
| Librarian | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Other | 8 | 16% |
| Unknown | 19 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 18% |
| Engineering | 6 | 12% |
| Medicine and Dentistry | 5 | 10% |
| Business, Management and Accounting | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 19 | 38% |