| Title |
Mortality Predictors Among COVID-19 Elderly in Taif, Saudi Arabia
|
|---|---|
| Published in |
Infection and Drug Resistance, June 2022
|
| DOI | 10.2147/idr.s364279 |
| Pubmed ID | |
| Authors |
Duaa Bakhshwin, Musim Alotaibi, Ahmed S Ali, Abdullah Althomali, Abdullah Alsuwat, Abdulrahman Alhamyani, Abdulqader Alwathnani, Samar Alsaggaf, Aziza Alrafiah |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Researcher | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Professor | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 9 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 18% |
| Engineering | 2 | 9% |
| Environmental Science | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 9 | 41% |