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Detailed genetic analysis of hemagglutinin-neuraminidase glycoprotein gene in human parainfluenza virus type 1 isolates from patients with acute respiratory infection between 2002 and 2009 in…

Overview of attention for article published in Virology Journal, December 2011
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Title
Detailed genetic analysis of hemagglutinin-neuraminidase glycoprotein gene in human parainfluenza virus type 1 isolates from patients with acute respiratory infection between 2002 and 2009 in Yamagata prefecture, Japan
Published in
Virology Journal, December 2011
DOI 10.1186/1743-422x-8-533
Pubmed ID
Authors

Katsumi Mizuta, Mika Saitoh, Miho Kobayashi, Hiroyuki Tsukagoshi, Yoko Aoki, Tatsuya Ikeda, Chieko Abiko, Noriko Katsushima, Tsutomu Itagaki, Masahiro Noda, Kunihisa Kozawa, Tadayuki Ahiko, Hirokazu Kimura

Abstract

Human parainfluenza virus type 1 (HPIV1) causes various acute respiratory infections (ARI). Hemagglutinin-neuraminidase (HN) glycoprotein of HPIV1 is a major antigen. However, the molecular epidemiology and genetic characteristics of such ARI are not exactly known. Recent studies suggested that a phylogenetic analysis tool, namely the maximum likelihood (ML) method, may be applied to estimate the evolutionary time scale of various viruses. Thus, we conducted detailed genetic analyses including homology analysis, phylogenetic analysis (using both the neighbor joining (NJ) and ML methods), and analysis of the pairwise distances of HN gene in HPIV1 isolated from patients with ARI in Yamagata prefecture, Japan.

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

Geographical breakdown

Country Count As %
Japan 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Student > Bachelor 3 14%
Student > Master 3 14%
Researcher 3 14%
Professor 1 5%
Other 2 9%
Unknown 4 18%
Readers by discipline Count As %
Medicine and Dentistry 6 27%
Biochemistry, Genetics and Molecular Biology 4 18%
Agricultural and Biological Sciences 3 14%
Computer Science 2 9%
Nursing and Health Professions 1 5%
Other 2 9%
Unknown 4 18%
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 15 December 2011.
All research outputs
#20,152,153
of 22,659,164 outputs
Outputs from Virology Journal
#2,858
of 3,024 outputs
Outputs of similar age
#220,111
of 242,398 outputs
Outputs of similar age from Virology Journal
#81
of 104 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,024 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.