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Genetic control of Aedes aegypti: data-driven modelling to assess the effect of releasing different life stages and the potential for long-term suppression

Overview of attention for article published in Parasites & Vectors, February 2014
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2 X users

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Title
Genetic control of Aedes aegypti: data-driven modelling to assess the effect of releasing different life stages and the potential for long-term suppression
Published in
Parasites & Vectors, February 2014
DOI 10.1186/1756-3305-7-68
Pubmed ID
Authors

Peter Winskill, Angela F Harris, Siân A Morgan, Jessica Stevenson, Norzahira Raduan, Luke Alphey, Andrew R McKemey, Christl A Donnelly

Abstract

Control of the world's most important vector-borne viral disease, dengue, is a high priority. A lack of vaccines or effective vector control methods means that novel solutions to disease control are essential. The release of male insects carrying a dominant lethal (RIDL) is one such approach that could be employed to control Aedes aegypti. To maximise the potential of RIDL control, optimum release strategies for transgenic mosquitoes are needed. The use of field data to parameterise models allowing comparisons of the release of different life-stages is presented together with recommendations for effective long-term suppression of a wild Ae. aegypti population.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 5%
United States 1 1%
Brazil 1 1%
Unknown 88 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 28%
Student > Ph. D. Student 19 20%
Student > Master 16 17%
Student > Bachelor 9 9%
Other 6 6%
Other 6 6%
Unknown 12 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 37%
Biochemistry, Genetics and Molecular Biology 11 12%
Medicine and Dentistry 10 11%
Environmental Science 5 5%
Nursing and Health Professions 4 4%
Other 14 15%
Unknown 16 17%
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 13 August 2019.
All research outputs
#14,717,512
of 23,567,572 outputs
Outputs from Parasites & Vectors
#2,880
of 5,579 outputs
Outputs of similar age
#179,866
of 316,490 outputs
Outputs of similar age from Parasites & Vectors
#97
of 216 outputs
Altmetric has tracked 23,567,572 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 5,579 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 316,490 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 216 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.