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Transcriptomics of differential vector competence: West Nile virus infection in two populations of Culex pipiens quinquefasciatus linked to ovary development

Overview of attention for article published in BMC Genomics, June 2014
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1 X user

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41 Mendeley
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Title
Transcriptomics of differential vector competence: West Nile virus infection in two populations of Culex pipiens quinquefasciatus linked to ovary development
Published in
BMC Genomics, June 2014
DOI 10.1186/1471-2164-15-513
Pubmed ID
Authors

Dongyoung Shin, Ayse Civana, Carolina Acevedo, Chelsea T Smartt

Abstract

Understanding mechanisms that contribute to viral dissemination in mosquito vectors will contribute to our ability to interfere with the transmission of viral pathogens that impact public health. The expression of genes in two Culex pipiens quinquefasciatus populations from Florida with known differences in vector competence to West Nile virus (WNV) were compared using high throughput sequencing.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Madagascar 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 34%
Researcher 8 20%
Student > Master 5 12%
Student > Doctoral Student 3 7%
Professor 2 5%
Other 4 10%
Unknown 5 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 46%
Immunology and Microbiology 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Environmental Science 2 5%
Veterinary Science and Veterinary Medicine 2 5%
Other 5 12%
Unknown 7 17%
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 20 October 2014.
All research outputs
#15,308,698
of 22,768,097 outputs
Outputs from BMC Genomics
#6,679
of 10,639 outputs
Outputs of similar age
#133,707
of 228,063 outputs
Outputs of similar age from BMC Genomics
#106
of 198 outputs
Altmetric has tracked 22,768,097 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 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 228,063 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 198 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.