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Mendeley readers
| Title |
Using intervention time series analyses to assess the effects of imperfectly identifiable natural events: a general method and example
|
|---|---|
| Published in |
BMC Medical Research Methodology, April 2006
|
| DOI | 10.1186/1471-2288-6-16 |
| Pubmed ID | |
| Authors |
Stuart Gilmour, Louisa Degenhardt, Wayne Hall, Carolyn Day |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Canada | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 101 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 25% |
| Researcher | 18 | 17% |
| Student > Master | 12 | 11% |
| Student > Postgraduate | 6 | 6% |
| Student > Doctoral Student | 5 | 5% |
| Other | 16 | 15% |
| Unknown | 22 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 12% |
| Engineering | 9 | 9% |
| Social Sciences | 8 | 8% |
| Computer Science | 7 | 7% |
| Mathematics | 6 | 6% |
| Other | 33 | 31% |
| Unknown | 29 | 28% |