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Anopheles salivary gland proteomes from major malaria vectors

Overview of attention for article published in BMC Genomics, November 2012
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3 Facebook pages

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64 Mendeley
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Title
Anopheles salivary gland proteomes from major malaria vectors
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-614
Pubmed ID
Authors

Albin Fontaine, Thierry Fusaï, Sébastien Briolant, Sylvain Buffet, Claude Villard, Emilie Baudelet, Mathieu Pophillat, Samuel Granjeaud, Christophe Rogier, Lionel Almeras

Abstract

Antibody responses against Anopheles salivary proteins can indicate individual exposure to bites of malaria vectors. The extent to which these salivary proteins are species-specific is not entirely resolved. Thus, a better knowledge of the diversity among salivary protein repertoires from various malaria vector species is necessary to select relevant genus-, subgenus- and/or species-specific salivary antigens. Such antigens could be used for quantitative (mosquito density) and qualitative (mosquito species) immunological evaluation of malaria vectors/host contact. In this study, salivary gland protein repertoires (sialomes) from several Anopheles species were compared using in silico analysis and proteomics. The antigenic diversity of salivary gland proteins among different Anopheles species was also examined.

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

Geographical breakdown

Country Count As %
Indonesia 1 2%
United Kingdom 1 2%
Portugal 1 2%
Unknown 61 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 22%
Student > Ph. D. Student 12 19%
Student > Master 10 16%
Student > Bachelor 3 5%
Student > Doctoral Student 3 5%
Other 10 16%
Unknown 12 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 45%
Biochemistry, Genetics and Molecular Biology 11 17%
Medicine and Dentistry 4 6%
Immunology and Microbiology 3 5%
Economics, Econometrics and Finance 1 2%
Other 1 2%
Unknown 15 23%
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 27 November 2012.
All research outputs
#14,737,988
of 22,685,926 outputs
Outputs from BMC Genomics
#6,107
of 10,616 outputs
Outputs of similar age
#108,786
of 179,099 outputs
Outputs of similar age from BMC Genomics
#87
of 146 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 179,099 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 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.