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Mosquito communities and disease risk influenced by land use change and seasonality in the Australian tropics

Overview of attention for article published in Parasites & Vectors, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
12 X users

Citations

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71 Dimensions

Readers on

mendeley
187 Mendeley
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Title
Mosquito communities and disease risk influenced by land use change and seasonality in the Australian tropics
Published in
Parasites & Vectors, July 2016
DOI 10.1186/s13071-016-1675-2
Pubmed ID
Authors

Dagmar B. Meyer Steiger, Scott A. Ritchie, Susan G. W. Laurance

Abstract

Anthropogenic land use changes have contributed considerably to the rise of emerging and re-emerging mosquito-borne diseases. These diseases appear to be increasing as a result of the novel juxtapositions of habitats and species that can result in new interchanges of vectors, diseases and hosts. We studied whether the mosquito community structure varied between habitats and seasons and whether known disease vectors displayed habitat preferences in tropical Australia. Using CDC model 512 traps, adult mosquitoes were sampled across an anthropogenic disturbance gradient of grassland, rainforest edge and rainforest interior habitats, in both the wet and dry seasons. Nonmetric multidimensional scaling (NMS) ordinations were applied to examine major gradients in the composition of mosquito and vector communities. We captured ~13,000 mosquitoes from 288 trap nights across four study sites. A community analysis identified 29 species from 7 genera. Even though mosquito abundance and richness were similar between the three habitats, the community composition varied significantly in response to habitat type. The mosquito community in rainforest interiors was distinctly different to the community in grasslands, whereas forest edges acted as an ecotone with shared communities from both forest interiors and grasslands. We found two community patterns that will influence disease risk at out study sites, first, that disease vectoring mosquito species occurred all year round. Secondly, that anthropogenic grasslands adjacent to rainforests may increase the probability of novel disease transmission through changes to the vector community on rainforest edges, as most disease transmitting species predominantly occurred in grasslands. Our results indicate that the strong influence of anthropogenic land use change on mosquito communities could have potential implications for pathogen transmission to humans and wildlife.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 1%
France 1 <1%
United Kingdom 1 <1%
Unknown 183 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 19%
Student > Master 29 16%
Student > Ph. D. Student 28 15%
Student > Bachelor 16 9%
Student > Doctoral Student 13 7%
Other 22 12%
Unknown 44 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 29%
Environmental Science 16 9%
Biochemistry, Genetics and Molecular Biology 13 7%
Veterinary Science and Veterinary Medicine 12 6%
Medicine and Dentistry 9 5%
Other 28 15%
Unknown 54 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 14 March 2019.
All research outputs
#1,248,421
of 24,217,496 outputs
Outputs from Parasites & Vectors
#168
of 5,701 outputs
Outputs of similar age
#24,014
of 362,134 outputs
Outputs of similar age from Parasites & Vectors
#8
of 151 outputs
Altmetric has tracked 24,217,496 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,701 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 97% of its peers.
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 362,134 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.