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Mendeley readers
Attention Score in Context
| Title |
Intensity of Rainfall and Severity of Melioidosis, Australia - Volume 9, Number 12—December 2003 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, December 2003
|
| DOI | 10.3201/eid0912.020750 |
| Pubmed ID | |
| Authors |
Bart J. Currie, Susan P. Jacups |
| Abstract |
In a 12-year prospective study of 318 culture-confirmed cases of melioidosis from the Top End of the Northern Territory of Australia, rainfall data for individual patient locations were correlated with patient risk factors, clinical parameters, and outcomes. Median rainfall in the 14 days before admission was highest (211 mm) for those dying with melioidosis, in comparison to 110 mm for those surviving (p=0.0002). Median 14-day rainfall was also significantly higher for those with pneumonia. On univariate analysis, a prior 14-day rainfall of 125 mm was significantly correlated with pneumonia (odds ratio [OR] 1.70 [confidence interval [CI] 1.09 to 2.65]), bacteremia (OR 1.93 [CI 1.24 to 3.02]), septic shock (OR 1.94 [CI 1.14 to 3.29]), and death (OR 2.50 [CI 1.36 to 4.57]). On multivariate analysis, rainfall in the 14 days before admission was an independent risk factor for pneumonia (p=0.023), bacteremic pneumonia (p=0.001), septic shock (p=0.005), and death (p<0.0001). Heavy monsoonal rains and winds may cause a shift towards inhalation of Burkholderia pseudomallei. |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 1% |
| Rwanda | 1 | 1% |
| United States | 1 | 1% |
| Argentina | 1 | 1% |
| Unknown | 90 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 18% |
| Student > Master | 13 | 14% |
| Student > Bachelor | 13 | 14% |
| Researcher | 12 | 13% |
| Other | 7 | 7% |
| Other | 18 | 19% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 34% |
| Agricultural and Biological Sciences | 16 | 17% |
| Biochemistry, Genetics and Molecular Biology | 8 | 9% |
| Immunology and Microbiology | 8 | 9% |
| Engineering | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 21 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 September 2019.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Emerging Infectious Diseases
#5,367
of 9,082 outputs
Outputs of similar age
#33,289
of 133,039 outputs
Outputs of similar age from Emerging Infectious Diseases
#31
of 62 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,082 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.8. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 133,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.