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Presence and distribution of mosquito larvae predators and factors influencing their abundance along the Mara River, Kenya and Tanzania

Overview of attention for article published in SpringerPlus, March 2015
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Mentioned by

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1 X user
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1 peer review site

Citations

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35 Dimensions

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mendeley
138 Mendeley
Title
Presence and distribution of mosquito larvae predators and factors influencing their abundance along the Mara River, Kenya and Tanzania
Published in
SpringerPlus, March 2015
DOI 10.1186/s40064-015-0905-y
Pubmed ID
Authors

Gabriel O Dida, Frank B Gelder, Douglas N Anyona, Paul O Abuom, Jackson O Onyuka, Ally-Said Matano, Samson O Adoka, Canisius K Kanangire, Philip O Owuor, Collins Ouma, Ayub VO Ofulla

Abstract

Among all the malaria controlling measures, biological control of mosquito larvae may be the cheapest and easiest to implement. This study investigated baseline predation of immature mosquitoes by macroinvertebrate predators along the Mara River, determined the diversity of predators and mosquito larvae habitats and the range of their adaptive capacity to water physico-chemical parameters. Between July and August 2011, sampling sites (n=39) along the Mara River were selected and investigated for the presence of macroinvertebrate predators and mosquito larvae. The selected sampling sites were geocoded and each dipped 20 times using standard mosquito larvae dipper to sample mosquito larvae, while a D-frame dip net was used to capture the macroinvertebrate predators. Water physico-chemical parameters (dissolved oxygen, temperature, pH, conductivity, salinity and turbidity) were taken in situ at access points, while hardness and alkalinity were measured titrimetically. The influence of macroinvertebrate predator occurrence was correlated with mosquito larvae and water quality parameters using Generalized Linear Model (GLM). Predators (n=297) belonging to 3 orders of Hemiptera (54.2%), Odonata (22.9%) and Coleoptera (22.9%), and mosquito larvae (n=4001) belonging to 10 species, which included An.gambiae s.l (44.9%), Culex spp. (34.8%) and An. coustani complex (13.8%), An. maculipalpis (3.6%), An. phaorensis (1.2%), An. funestus group (0.5%), An. azaniae (0.4%), An. hamoni (0.3%), An. christyi (0.3%), An. ardensis (0.08%), An. faini (0.07%), An. sergentii (0.05%) and 0.05% of Aedes mosquito larvae which were not identified to species level, due to lack of an appropriate key, were captured from different habitats along the Mara river. It was established that invasion of habitats by the macroinvertebrate predators were partially driven by the presence of mosquito larvae (p < 0.001), and the prevailing water physico-chemical parameters (DO, temperature, and turbidity, p <0.001). Understanding abiotic and biotic factors which favour mosquitoes and macroinveterbrate co-occurrence may contribute to the control of malaria.

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

Geographical breakdown

Country Count As %
Madagascar 1 <1%
Unknown 137 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 19%
Student > Ph. D. Student 23 17%
Student > Bachelor 18 13%
Researcher 14 10%
Student > Doctoral Student 8 6%
Other 16 12%
Unknown 33 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 36%
Environmental Science 16 12%
Biochemistry, Genetics and Molecular Biology 9 7%
Medicine and Dentistry 6 4%
Immunology and Microbiology 4 3%
Other 17 12%
Unknown 36 26%
Attention Score in Context

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 26 November 2015.
All research outputs
#14,829,358
of 22,834,308 outputs
Outputs from SpringerPlus
#835
of 1,850 outputs
Outputs of similar age
#147,925
of 262,913 outputs
Outputs of similar age from SpringerPlus
#31
of 65 outputs
Altmetric has tracked 22,834,308 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 1,850 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 49th percentile – i.e., 49% 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 262,913 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.