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Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae)

Overview of attention for article published in Parasites & Vectors, April 2017
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Title
Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae)
Published in
Parasites & Vectors, April 2017
DOI 10.1186/s13071-017-2140-6
Pubmed ID
Authors

Carina Zittra, Simon Vitecek, Adelheid G. Obwaller, Heidemarie Rossiter, Barbara Eigner, Thomas Zechmeister, Johann Waringer, Hans-Peter Fuehrer

Abstract

Vector-pathogen dynamics are controlled by fluctuations of potential vector communities, such as the Culicidae. Assessment of mosquito community diversity and, in particular, identification of environmental parameters shaping these communities is therefore of key importance for the design of adequate surveillance approaches. In this study, we assess effects of climatic parameters and habitat structure on mosquito communities in eastern Austria to deliver these highly relevant baseline data. Female mosquitoes were sampled twice a month from April to October 2014 and 2015 at 35 permanent and 23 non-permanent trapping sites using carbon dioxide-baited traps. Differences in spatial and seasonal abundance patterns of Culicidae taxa were identified using likelihood ratio tests; possible effects of environmental parameters on seasonal and spatial mosquito distribution were analysed using multivariate statistical methods. We assessed community responses to environmental parameters based on 14-day-average values that affect ontogenesis. Altogether 29,734 female mosquitoes were collected, and 21 of 42 native as well as two of four non-native mosquito species were reconfirmed in eastern Austria. Statistical analyses revealed significant differences in mosquito abundance between sampling years and provinces. Incidence and abundance patterns were found to be linked to 14-day mean sunshine duration, humidity, water-level maxima and the amount of precipitation. However, land cover classes were found to be the most important factor, effectively assigning both indigenous and non-native mosquito species to various communities, which responded differentially to environmental variables. These findings thus underline the significance of non-climatic variables for future mosquito prediction models and the necessity to consider these in mosquito surveillance programmes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 19%
Student > Master 18 18%
Researcher 12 12%
Student > Bachelor 11 11%
Other 8 8%
Other 15 15%
Unknown 19 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 39%
Environmental Science 8 8%
Biochemistry, Genetics and Molecular Biology 6 6%
Immunology and Microbiology 6 6%
Medicine and Dentistry 5 5%
Other 10 10%
Unknown 27 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 27 April 2017.
All research outputs
#14,341,817
of 22,965,074 outputs
Outputs from Parasites & Vectors
#2,838
of 5,486 outputs
Outputs of similar age
#172,416
of 309,791 outputs
Outputs of similar age from Parasites & Vectors
#98
of 162 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,486 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 44th percentile – i.e., 44% 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 309,791 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 162 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.