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Mendeley readers
| Title |
Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore
|
|---|---|
| Published in |
BMC Health Services Research, May 2005
|
| DOI | 10.1186/1472-6963-5-36 |
| Pubmed ID | |
| Authors |
Arul Earnest, Mark I Chen, Donald Ng, Leo Yee Sin |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 127 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 14% |
| Researcher | 18 | 14% |
| Student > Master | 15 | 12% |
| Professor > Associate Professor | 14 | 11% |
| Student > Doctoral Student | 7 | 5% |
| Other | 25 | 19% |
| Unknown | 32 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 19% |
| Engineering | 10 | 8% |
| Computer Science | 10 | 8% |
| Business, Management and Accounting | 7 | 5% |
| Nursing and Health Professions | 7 | 5% |
| Other | 31 | 24% |
| Unknown | 39 | 30% |