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g-FLUA2H: a web-based application to study the dynamics of animal-to-human mutation transmission for influenza viruses

Overview of attention for article published in BMC Medical Genomics, December 2015
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Title
g-FLUA2H: a web-based application to study the dynamics of animal-to-human mutation transmission for influenza viruses
Published in
BMC Medical Genomics, December 2015
DOI 10.1186/1755-8794-8-s4-s5
Pubmed ID
Authors

Muhammad Farhan Sjaugi, Swan Tan, Hadia Syahirah Abd Raman, Wan Ching Lim, Nik Elena Nik Mohamed, J Thomas August, Asif M Khan

Abstract

g-FLUA2H is a web-based application focused on the analysis of the dynamics of influenza virus animal-to-human (A2H) mutation transmissions. The application only requires the viral protein sequences from both the animal and human host populations as input datasets. The comparative analyses between the co-aligned sequences of the two viral populations is based on a sliding window approach of size nine for statistical significance and data application to the major histocompatibility complex (MHC) and T-cell receptor (TCR) immune response mechanisms. The sequences at each of the aligned overlapping nonamer positions for the respective virus hosts are classified as four patterns of characteristic diversity motifs, as a basis for quantitative analyses: (i) "index", the most prevalent sequence; (ii) "major" variant, the second most common sequence and the single most prevalent variant of the index, with at least one amino acid mutation; (iii) "minor" variants, multiple different sequences, each with an incidence (percent occurrence) less than that of the major variant; and (iv) "unique" variants, each with only one occurrence in the alignment. The diversity motifs and their incidences at each of the nonamer positions allow evaluation of the mutation transmission dynamics and selectivity of the viral sequences in relation to the animal and the human hosts. g-FLUA2H is facilitated by a grid back-end for parallel processing of large sequence datasets. The web-application is publicly available at http://bioinfo.perdanauniversity.edu.my/g-FLUA2H. It can be used for a detailed characterization of the composition and incidence of mutations present in the proteomes of influenza viruses from animal and human host populations, for a better understanding of host tropism.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 44%
Student > Master 3 19%
Lecturer 1 6%
Lecturer > Senior Lecturer 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 25%
Computer Science 4 25%
Engineering 2 13%
Mathematics 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 2 13%
Unknown 2 13%

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 28 March 2017.
All research outputs
#18,432,465
of 22,835,198 outputs
Outputs from BMC Medical Genomics
#862
of 1,223 outputs
Outputs of similar age
#280,827
of 389,036 outputs
Outputs of similar age from BMC Medical Genomics
#30
of 34 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 18th percentile – i.e., 18% 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 389,036 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.