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Mendeley readers
Attention Score in Context
| Title |
Climatic, high tide and vector variables and the transmission of Ross River virus
|
|---|---|
| Published in |
Internal Medicine Journal, October 2005
|
| DOI | 10.1111/j.1445-5994.2005.00935.x |
| Pubmed ID | |
| Authors |
S. Tong, W. Hu, N. Nicholls, P. Dale, J. S. MacKenzie, J. Patz, A. J. McMichael |
| Abstract |
This report assesses the impact of the variability in environmental and vector factors on the transmission of Ross River virus (RRV) in Brisbane, Australia. Poisson time series regression analyses were conducted using monthly data on the counts of RRV cases, climate variables (Southern Oscillation Index and rainfall), high tides and mosquito density for the period of 1998-2001. The results indicate that increases in the high tide (relative risk (RR): 1.65; 95% confidence interval (CI): 1.20-2.26), rainfall (RR: 1.45; 95% CI: 1.21-1.73), mosquito density (RR: 1.17; 95% CI: 1.09-1.27), the density of Culex annulirostris (RR: 1.25; 95% CI: 1.13-1.37) and the density of Ochlerotatus vigilax (RR: 2.39; 95% CI: 2.30-2.48), each at a lag of 1 month, were statistically significantly associated with the rise of monthly RRV incidence. The results of the present study might facilitate the development of early warning systems for reducing the incidence of this wide-spread disease in Australia and other Pacific island nations. |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Australia | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 30 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 7 | 21% |
| Student > Ph. D. Student | 7 | 21% |
| Researcher | 6 | 18% |
| Professor > Associate Professor | 3 | 9% |
| Other | 3 | 9% |
| Other | 4 | 12% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 7 | 21% |
| Medicine and Dentistry | 7 | 21% |
| Immunology and Microbiology | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Computer Science | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 5 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 March 2014.
All research outputs
#4,189,261
of 24,590,593 outputs
Outputs from Internal Medicine Journal
#378
of 2,470 outputs
Outputs of similar age
#9,746
of 62,196 outputs
Outputs of similar age from Internal Medicine Journal
#4
of 11 outputs
Altmetric has tracked 24,590,593 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,470 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 62,196 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.