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The neurotranscriptome of the Aedes aegypti mosquito

Overview of attention for article published in BMC Genomics, January 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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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Title
The neurotranscriptome of the Aedes aegypti mosquito
Published in
BMC Genomics, January 2016
DOI 10.1186/s12864-015-2239-0
Pubmed ID
Authors

Benjamin J. Matthews, Carolyn S. McBride, Matthew DeGennaro, Orion Despo, Leslie B. Vosshall

Abstract

A complete genome sequence and the advent of genome editing open up non-traditional model organisms to mechanistic genetic studies. The mosquito Aedes aegypti is an important vector of infectious diseases such as dengue, chikungunya, and yellow fever and has a large and complex genome, which has slowed annotation efforts. We used comprehensive transcriptomic analysis of adult gene expression to improve the genome annotation and to provide a detailed tissue-specific catalogue of neural gene expression at different adult behavioral states. We carried out deep RNA sequencing across all major peripheral male and female sensory tissues, the brain and (female) ovary. Furthermore, we examined gene expression across three important phases of the female reproductive cycle, a remarkable example of behavioral switching in which a female mosquito alternates between obtaining blood-meals from humans and laying eggs. Using genome-guided alignments and de novo transcriptome assembly, our re-annotation includes 572 new putative protein-coding genes and updates to 13.5 and 50.3 % of existing transcripts within coding sequences and untranslated regions, respectively. Using this updated annotation, we detail gene expression in each tissue, identifying large numbers of transcripts regulated by blood-feeding and sexually dimorphic transcripts that may provide clues to the biology of male- and female-specific behaviors, such as mating and blood-feeding, which are areas of intensive study for those interested in vector control. This neurotranscriptome forms a strong foundation for the study of genes in the mosquito nervous system and investigation of sensory-driven behaviors and their regulation. Furthermore, understanding the molecular genetic basis of mosquito chemosensory behavior has important implications for vector control.

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X Demographics

The data shown below were collected from the profiles of 16 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 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Portugal 1 <1%
Chile 1 <1%
Germany 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 296 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 58 19%
Student > Ph. D. Student 53 17%
Student > Master 35 12%
Student > Bachelor 28 9%
Student > Postgraduate 20 7%
Other 48 16%
Unknown 61 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 113 37%
Biochemistry, Genetics and Molecular Biology 59 19%
Neuroscience 19 6%
Medicine and Dentistry 14 5%
Nursing and Health Professions 4 1%
Other 25 8%
Unknown 69 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 01 February 2016.
All research outputs
#3,510,728
of 24,169,085 outputs
Outputs from BMC Genomics
#1,302
of 10,913 outputs
Outputs of similar age
#61,201
of 402,451 outputs
Outputs of similar age from BMC Genomics
#29
of 264 outputs
Altmetric has tracked 24,169,085 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,913 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 88% 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 402,451 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 264 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.