↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
91 Dimensions

Readers on

mendeley
221 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 221 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 210 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 60 27%
Researcher 37 17%
Student > Ph. D. Student 24 11%
Student > Bachelor 18 8%
Student > Doctoral Student 11 5%
Other 36 16%
Unknown 35 16%
Readers by discipline Count As %
Medicine and Dentistry 34 15%
Environmental Science 27 12%
Agricultural and Biological Sciences 25 11%
Earth and Planetary Sciences 21 10%
Computer Science 18 8%
Other 51 23%
Unknown 45 20%

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 29 September 2016.
All research outputs
#13,864,864
of 22,665,794 outputs
Outputs from Malaria Journal
#3,729
of 5,540 outputs
Outputs of similar age
#94,740
of 163,891 outputs
Outputs of similar age from Malaria Journal
#48
of 70 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 29th percentile – i.e., 29% 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 163,891 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.