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The influenza A virus NS genome segment displays lineage-specific patterns in predicted RNA secondary structure

Overview of attention for article published in BMC Research Notes, May 2016
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Title
The influenza A virus NS genome segment displays lineage-specific patterns in predicted RNA secondary structure
Published in
BMC Research Notes, May 2016
DOI 10.1186/s13104-016-2083-6
Pubmed ID
Authors

A. V. Vasin, A. V. Petrova, V. V. Egorov, M. A. Plotnikova, S. A. Klotchenko, M. N. Karpenko, O. I. Kiselev

Abstract

Influenza A virus (IAV) is a segmented negative-sense RNA virus that causes seasonal epidemics and periodic pandemics in humans. Two regions (nucleotide positions 82-148 and 497-564) in the positive-sense RNA of the NS segment fold into a multi-branch loop or hairpin structures. We studied 25,384 NS segment positive-sense RNA unique sequences of human and non-human IAVs in order to predict secondary RNA structures of the 82-148 and 497-564 regions using RNAfold software, and determined their host- and lineage-specific distributions. Hairpins prevailed in avian and avian-origin human IAVs, including H1N1pdm1918 and H5N1. In human and swine IAV hairpins distribution varied between evolutionary lineages. These results suggest a possible functional role for these RNA secondary structures and the need for experimental evaluation of these structures in the influenza life cycle.

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

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 25%
Student > Ph. D. Student 7 19%
Student > Master 5 14%
Student > Bachelor 3 8%
Professor 2 6%
Other 4 11%
Unknown 6 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 44%
Agricultural and Biological Sciences 6 17%
Engineering 3 8%
Immunology and Microbiology 2 6%
Social Sciences 1 3%
Other 3 8%
Unknown 5 14%
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 22 May 2016.
All research outputs
#20,328,845
of 22,873,031 outputs
Outputs from BMC Research Notes
#3,563
of 4,268 outputs
Outputs of similar age
#286,332
of 333,293 outputs
Outputs of similar age from BMC Research Notes
#73
of 87 outputs
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