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Temporal and micro-spatial heterogeneity in the distribution of Anopheles vectors of malaria along the Kenyan coast

Overview of attention for article published in Parasites & Vectors, October 2013
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1 X user

Citations

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Title
Temporal and micro-spatial heterogeneity in the distribution of Anopheles vectors of malaria along the Kenyan coast
Published in
Parasites & Vectors, October 2013
DOI 10.1186/1756-3305-6-311
Pubmed ID
Authors

Martin Walker, Peter Winskill, María-Gloria Basáñez, Joseph M Mwangangi, Charles Mbogo, John C Beier, Janet T Midega

Abstract

The distribution of anopheline mosquitoes is determined by temporally dynamic environmental and human-associated variables, operating over a range of spatial scales. Macro-spatial short-term trends are driven predominantly by prior (lagged) seasonal changes in climate, which regulate the abundance of suitable aquatic larval habitats. Micro-spatial distribution is determined by the location of these habitats, proximity and abundance of available human bloodmeals and prevailing micro-climatic conditions. The challenge of analysing--in a single coherent statistical framework--the lagged and distributed effect of seasonal climate changes simultaneously with the effects of an underlying hierarchy of spatial factors has hitherto not been addressed.

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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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Italy 1 <1%
Tanzania, United Republic of 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 113 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 18%
Student > Master 21 18%
Student > Ph. D. Student 18 15%
Student > Doctoral Student 7 6%
Student > Bachelor 7 6%
Other 20 17%
Unknown 25 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 26%
Medicine and Dentistry 12 10%
Environmental Science 8 7%
Social Sciences 7 6%
Biochemistry, Genetics and Molecular Biology 6 5%
Other 25 21%
Unknown 30 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 30 October 2013.
All research outputs
#18,351,676
of 22,727,570 outputs
Outputs from Parasites & Vectors
#4,205
of 5,441 outputs
Outputs of similar age
#158,166
of 212,687 outputs
Outputs of similar age from Parasites & Vectors
#41
of 66 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,441 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 11th percentile – i.e., 11% 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 212,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.