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A global model of malaria climate sensitivity: comparing malaria response to historic climate data based on simulation and officially reported malaria incidence

Overview of attention for article published in Malaria Journal, September 2012
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4 X users

Citations

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15 Dimensions

Readers on

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120 Mendeley
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Title
A global model of malaria climate sensitivity: comparing malaria response to historic climate data based on simulation and officially reported malaria incidence
Published in
Malaria Journal, September 2012
DOI 10.1186/1475-2875-11-331
Pubmed ID
Authors

Stefan Edlund, Matthew Davis, Judith V Douglas, Arik Kershenbaum, Narongrit Waraporn, Justin Lessler, James H Kaufman

Abstract

The role of the Anopheles vector in malaria transmission and the effect of climate on Anopheles populations are well established. Models of the impact of climate change on the global malaria burden now have access to high-resolution climate data, but malaria surveillance data tends to be less precise, making model calibration problematic. Measurement of malaria response to fluctuations in climate variables offers a way to address these difficulties. Given the demonstrated sensitivity of malaria transmission to vector capacity, this work tests response functions to fluctuations in land surface temperature and precipitation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Ethiopia 1 <1%
Ghana 1 <1%
Colombia 1 <1%
India 1 <1%
Australia 1 <1%
Cambodia 1 <1%
United States 1 <1%
Unknown 111 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 17%
Student > Master 19 16%
Researcher 16 13%
Student > Bachelor 11 9%
Student > Doctoral Student 9 8%
Other 29 24%
Unknown 16 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 21%
Medicine and Dentistry 16 13%
Environmental Science 13 11%
Unspecified 8 7%
Computer Science 5 4%
Other 32 27%
Unknown 21 18%
Attention Score in Context

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 24 September 2012.
All research outputs
#13,136,425
of 22,679,690 outputs
Outputs from Malaria Journal
#3,336
of 5,540 outputs
Outputs of similar age
#91,132
of 170,567 outputs
Outputs of similar age from Malaria Journal
#55
of 92 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,540 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 38th percentile – i.e., 38% 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 170,567 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.