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Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis

Overview of attention for article published in BMC Genomics, June 2014
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3 X users

Citations

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37 Dimensions

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73 Mendeley
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Title
Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis
Published in
BMC Genomics, June 2014
DOI 10.1186/1471-2164-15-448
Pubmed ID
Authors

Guoding Zhu, Daibin Zhong, Jun Cao, Huayun Zhou, Julin Li, Yaobao Liu, Liang Bai, Sui Xu, Mei-Hui Wang, Guofa Zhou, Xuelian Chang, Qi Gao, Guiyun Yan

Abstract

Anopheles sinensis is a major malaria vector in China and other Southeast Asian countries, and it is becoming increasingly resistant to the insecticides used for agriculture, net impregnation, and indoor residual spray. Very limited genomic information on this species is available, which has hindered the development of new tools for resistance surveillance and vector control. We used the 454 GS FLX system and generated expressed sequence tag (EST) databases of various life stages of An. sinensis, and we determined the transcriptional differences between deltamethrin resistant and susceptible mosquitoes.

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

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Chile 1 1%
Switzerland 1 1%
Brazil 1 1%
United States 1 1%
Unknown 66 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 23%
Student > Ph. D. Student 10 14%
Student > Bachelor 7 10%
Student > Master 5 7%
Student > Doctoral Student 4 5%
Other 12 16%
Unknown 18 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 38%
Biochemistry, Genetics and Molecular Biology 10 14%
Medicine and Dentistry 6 8%
Environmental Science 1 1%
Chemical Engineering 1 1%
Other 7 10%
Unknown 20 27%
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 31 January 2015.
All research outputs
#16,099,609
of 23,881,329 outputs
Outputs from BMC Genomics
#6,842
of 10,793 outputs
Outputs of similar age
#136,472
of 231,357 outputs
Outputs of similar age from BMC Genomics
#116
of 208 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 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 231,357 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 208 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.