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Molecular analysis of hemagglutinin, neuraminidase, matrix genes provide insight into the genetic diversity of seasonal H3N2 human influenza a viruses in Bangladesh during July–August, 2012

Overview of attention for article published in VirusDisease, February 2018
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Title
Molecular analysis of hemagglutinin, neuraminidase, matrix genes provide insight into the genetic diversity of seasonal H3N2 human influenza a viruses in Bangladesh during July–August, 2012
Published in
VirusDisease, February 2018
DOI 10.1007/s13337-018-0431-y
Pubmed ID
Authors

Mukesh Jain, Sohidul Islam, A. S. M. Zisanur Rahman, Sharmin Akhtar, Kazi Nadim Hasan, Gias Uddin Ahsan, Abdul Khaleque, Maqsud Hossain

Abstract

Influenza A virus subtype H3 is a threat to public health and it is important to understand the evolution of the viruses for the surveillance and the selection of vaccine strains. Comparative analysis of four Bangladeshi isolates with isolates circulating other parts of the world based on three candidate genes hemagglutinin (HA), neuraminidase (NA), matrix protein (MA) showed no evidence of significant distinct subclade of viruses circulating in the country over the period of study. Despite these findings, we found N161S substitution in all four H3N2 influenza stains resulting in the gain of NSS160-162 glycosylation site. All H3N2 Influenza subtypes in the study had amino acid substitution at position 31 on the M2 protein (Aspartic acid to Asparagine) which is known to be responsible for amantadine drug resistance.

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 30%
Student > Ph. D. Student 2 20%
Student > Master 2 20%
Librarian 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Medicine and Dentistry 4 40%
Biochemistry, Genetics and Molecular Biology 2 20%
Agricultural and Biological Sciences 1 10%
Unknown 3 30%
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 02 May 2018.
All research outputs
#15,499,578
of 23,035,022 outputs
Outputs from VirusDisease
#113
of 322 outputs
Outputs of similar age
#269,577
of 440,127 outputs
Outputs of similar age from VirusDisease
#7
of 14 outputs
Altmetric has tracked 23,035,022 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 322 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 55% 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 440,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.