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Analysis of the ORF2 of human astroviruses reveals lineage diversification, recombination and rearrangement and provides the basis for a novel sub-classification system

Overview of attention for article published in Archives of Virology, October 2014
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Title
Analysis of the ORF2 of human astroviruses reveals lineage diversification, recombination and rearrangement and provides the basis for a novel sub-classification system
Published in
Archives of Virology, October 2014
DOI 10.1007/s00705-014-2153-9
Pubmed ID
Authors

Vito Martella, Pierfrancesco Pinto, Fabio Tummolo, Simona De Grazia, Giovanni M. Giammanco, Maria C. Medici, Balasubramanian Ganesh, Yvan L’Homme, Tibor Farkas, Ferenc Jakab, Krisztián Bányai

Abstract

Canonical human astroviruses (HAstVs) are important enteric pathogens that can be classified genetically and antigenically into eight types. Sequence analysis of small diagnostic regions at either the 5' or 3' end of ORF2 (capsid precursor) is a good proxy for prediction of HAstV types and for distinction of intratypic genetic lineages (subtypes), although lineage diversification/classification has not been investigated systematically. Upon sequence and phylogenetic analysis of the full-length ORF2 of 86 HAstV strains selected from the databases, a detailed classification of HAstVs into lineages was established. Three main lineages could be defined in HAstV-1, four in HAstV-2, two in HAstV-3, three in HAstV-4, three in HAstV-5 and two in HAstV-6. Intratypic (inter-lineages) ORF2 recombinant strains were identified in type 1 (1b/1d) and type 2 (2c/2b) with distinct crossover points. Other potential intratypic recombinant strains were identified in type 3, type 5 and type 6. In addition, a type-1b strain with a large insertion (~600 bp) of heterologous RNA in the N-terminal region and a type-6 strain with a large RNA rearrangement in the hypervariable region were identified. The classification scheme was integrated in a novel nomenclature system suitable for designation of HAstV strains.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 31%
Professor > Associate Professor 2 13%
Student > Master 2 13%
Student > Doctoral Student 1 6%
Professor 1 6%
Other 1 6%
Unknown 4 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 19%
Veterinary Science and Veterinary Medicine 1 6%
Computer Science 1 6%
Immunology and Microbiology 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 9 56%
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 20 October 2014.
All research outputs
#15,307,723
of 22,766,595 outputs
Outputs from Archives of Virology
#2,590
of 4,139 outputs
Outputs of similar age
#150,657
of 258,865 outputs
Outputs of similar age from Archives of Virology
#26
of 54 outputs
Altmetric has tracked 22,766,595 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 4,139 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.