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Antigenic heterogeneity of capsid protein VP1 in foot-and-mouth disease virus (FMDV) serotype Asia 1

Overview of attention for article published in Advances and Applications in Bioinformatics and Chemistry : AABC, August 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter

Citations

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5 Dimensions

Readers on

mendeley
27 Mendeley
Title
Antigenic heterogeneity of capsid protein VP1 in foot-and-mouth disease virus (FMDV) serotype Asia 1
Published in
Advances and Applications in Bioinformatics and Chemistry : AABC, August 2013
DOI 10.2147/aabc.s49587
Pubmed ID
Authors

Munawar Sultana, Sabbir Alam, Mohammed Ziaur Rahmman, Md. Hossain, Ruhul Amin, SM Sabbir Alam, Mohammed Ziaur Rahman, M Anwar Hossain

Abstract

Foot and mouth disease virus (FMDV), with its seven serotypes, is a highly contagious virus infecting mainly cloven-hoofed animals. The serotype Asia1 occurs mainly in Asian regions. An in-silico approach was taken to reveal the antigenic heterogeneities within the capsid protein VP1 of Asia1. A total of 47 VP1 sequences of Asia1 isolates from different countries of South Asian regions were selected, retrieved from database, and were aligned. The structure of VP1 protein was modeled using a homology modeling approach. Several antigenic sites were identified and mapped onto the three-dimensional protein structure. Variations at these antigenic sites were analyzed by calculating the protein variability index and finding mutation combinations. The data suggested that vaccine escape mutants have derived from only few mutations at several antigenic sites. Five antigenic peptides have been identified as the least variable epitopes, with just fewer amino acid substitutions. Only a limited number of serotype Asia1 antigenic variants were found to be circulated within the South Asian region. This emphasizes a possibility of formulating synthetic vaccines for controlling foot-and-mouth disease by Asia1 serotypes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 4%
Australia 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 30%
Student > Master 5 19%
Student > Bachelor 4 15%
Researcher 3 11%
Professor 3 11%
Other 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 67%
Veterinary Science and Veterinary Medicine 4 15%
Biochemistry, Genetics and Molecular Biology 2 7%
Unspecified 1 4%
Immunology and Microbiology 1 4%
Other 1 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 22 July 2014.
All research outputs
#540,153
of 4,507,509 outputs
Outputs from Advances and Applications in Bioinformatics and Chemistry : AABC
#1
of 16 outputs
Outputs of similar age
#16,137
of 115,468 outputs
Outputs of similar age from Advances and Applications in Bioinformatics and Chemistry : AABC
#1
of 2 outputs
Altmetric has tracked 4,507,509 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16 research outputs from this source. They receive a mean Attention Score of 2.5. This one scored the same or higher as 15 of them.
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 115,468 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 86% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them