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X Demographics
Mendeley readers
Attention Score in Context
Title |
Imported Dengue Cases, Weather Variation and Autochthonous Dengue Incidence in Cairns, Australia
|
---|---|
Published in |
PLOS ONE, December 2013
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DOI | 10.1371/journal.pone.0081887 |
Pubmed ID | |
Authors |
Xiaodong Huang, Gail Williams, Archie C. A. Clements, Wenbiao Hu |
Abstract |
Dengue fever (DF) outbreaks often arise from imported DF cases in Cairns, Australia. Few studies have incorporated imported DF cases in the estimation of the relationship between weather variability and incidence of autochthonous DF. The study aimed to examine the impact of weather variability on autochthonous DF infection after accounting for imported DF cases and then to explore the possibility of developing an empirical forecast system. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Zimbabwe | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 6% |
United Kingdom | 2 | 3% |
Unknown | 65 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 30% |
Student > Ph. D. Student | 11 | 15% |
Student > Master | 11 | 15% |
Student > Bachelor | 8 | 11% |
Professor > Associate Professor | 5 | 7% |
Other | 8 | 11% |
Unknown | 7 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 17 | 24% |
Medicine and Dentistry | 16 | 23% |
Environmental Science | 10 | 14% |
Mathematics | 3 | 4% |
Nursing and Health Professions | 3 | 4% |
Other | 13 | 18% |
Unknown | 9 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 December 2013.
All research outputs
#14,768,891
of 22,736,112 outputs
Outputs from PLOS ONE
#123,340
of 194,041 outputs
Outputs of similar age
#185,701
of 307,365 outputs
Outputs of similar age from PLOS ONE
#3,242
of 5,379 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,041 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 32nd percentile – i.e., 32% 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 307,365 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,379 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.