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Dissecting the organ specificity of insecticide resistance candidate genes in Anopheles gambiae: known and novel candidate genes

Overview of attention for article published in BMC Genomics, November 2014
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Title
Dissecting the organ specificity of insecticide resistance candidate genes in Anopheles gambiae: known and novel candidate genes
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-1018
Pubmed ID
Authors

Victoria A Ingham, Christopher M Jones, Patricia Pignatelli, Vasileia Balabanidou, John Vontas, Simon C Wagstaff, Jonathan D Moore, Hilary Ranson

Abstract

The elevated expression of enzymes with insecticide metabolism activity can lead to high levels of insecticide resistance in the malaria vector, Anopheles gambiae. In this study, adult female mosquitoes from an insecticide susceptible and resistant strain were dissected into four different body parts. RNA from each of these samples was used in microarray analysis to determine the enrichment patterns of the key detoxification gene families within the mosquito and to identify additional candidate insecticide resistance genes that may have been overlooked in previous experiments on whole organisms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Japan 1 1%
Spain 1 1%
Unknown 89 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 24%
Researcher 14 15%
Student > Master 14 15%
Student > Doctoral Student 7 8%
Student > Postgraduate 5 5%
Other 13 14%
Unknown 18 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 45%
Biochemistry, Genetics and Molecular Biology 19 20%
Immunology and Microbiology 3 3%
Medicine and Dentistry 3 3%
Economics, Econometrics and Finance 2 2%
Other 4 4%
Unknown 20 22%
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 25 November 2014.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#227,102
of 369,540 outputs
Outputs of similar age from BMC Genomics
#208
of 332 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 369,540 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 332 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.