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Remote sensing-based time series models for malaria early warning in the highlands of Ethiopia

Overview of attention for article published in Malaria Journal, May 2012
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1 X user
facebook
1 Facebook page

Citations

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97 Dimensions

Readers on

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240 Mendeley
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2 CiteULike
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Title
Remote sensing-based time series models for malaria early warning in the highlands of Ethiopia
Published in
Malaria Journal, May 2012
DOI 10.1186/1475-2875-11-165
Pubmed ID
Authors

Alemayehu Midekisa, Gabriel Senay, Geoffrey M Henebry, Paulos Semuniguse, Michael C Wimberly

Abstract

Malaria is one of the leading public health problems in most of sub-Saharan Africa, particularly in Ethiopia. Almost all demographic groups are at risk of malaria because of seasonal and unstable transmission of the disease. Therefore, there is a need to develop malaria early-warning systems to enhance public health decision making for control and prevention of malaria epidemics. Data from orbiting earth-observing sensors can monitor environmental risk factors that trigger malaria epidemics. Remotely sensed environmental indicators were used to examine the influences of climatic and environmental variability on temporal patterns of malaria cases in the Amhara region of Ethiopia.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Germany 1 <1%
Switzerland 1 <1%
Indonesia 1 <1%
Portugal 1 <1%
United Kingdom 1 <1%
Australia 1 <1%
Peru 1 <1%
Canada 1 <1%
Other 0 0%
Unknown 229 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 62 26%
Researcher 38 16%
Student > Ph. D. Student 27 11%
Student > Bachelor 20 8%
Student > Doctoral Student 11 5%
Other 34 14%
Unknown 48 20%
Readers by discipline Count As %
Medicine and Dentistry 33 14%
Environmental Science 29 12%
Agricultural and Biological Sciences 27 11%
Earth and Planetary Sciences 23 10%
Computer Science 18 8%
Other 49 20%
Unknown 61 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 July 2015.
All research outputs
#19,305,317
of 24,580,204 outputs
Outputs from Malaria Journal
#5,042
of 5,786 outputs
Outputs of similar age
#126,159
of 167,661 outputs
Outputs of similar age from Malaria Journal
#57
of 67 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,786 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 9th percentile – i.e., 9% 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 167,661 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.