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Metagenomic analysis of the RNA fraction of the fecal virome indicates high diversity in pigs infected by porcine endemic diarrhea virus in the United States

Overview of attention for article published in Virology Journal, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 blog
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Citations

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61 Dimensions

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Title
Metagenomic analysis of the RNA fraction of the fecal virome indicates high diversity in pigs infected by porcine endemic diarrhea virus in the United States
Published in
Virology Journal, May 2018
DOI 10.1186/s12985-018-1001-z
Pubmed ID
Authors

Qi Chen, Leyi Wang, Ying Zheng, Jianqiang Zhang, Baoqing Guo, Kyoung-Jin Yoon, Phillip C. Gauger, Karen M. Harmon, Rodger G. Main, Ganwu Li

Abstract

Emergence and re-emergence of porcine epidemic diarrhea virus (PEDV) in North America, Asia and Europe has caused severe economic loss to the global swine industry. However, the virome of PEDV infected pigs and its effect on disease severity remains unknown. The advancements of sequencing technology have made it possible to characterize the entire microbiome of different body sites for any host. The objective of this study was to characterize the RNA virome in PEDV-positive pigs using the hypothesis-free metagenomics approach based on next-generation sequencing. Specifically, 217 PEDV-positive swine fecal swab samples collected from diarrheic piglets over 17 US states during 2015-2016 were analyzed. A Kraken algorithm-based bioinformatics analysis revealed the presence of up to 9 different RNA genera besides PEDV (Alphacoronavirus genus), including Mamastrovirus (52%, 113/217), Enterovirus (39%, 85/217), Sapelovirus (31%, 67/217), Posavirus (30%, 66/217), Kobuvirus (23%, 49/217), Sapovirus (13%, 28/217), Teschovirus (10%, 22/217), Pasivirus (9%, 20/217), and Deltacoronavirus (3%, 6/217). There were 58 out of 217 piglets (27%) have PEDV infection alone whereas the remaining 159 (73%) shed 2 up to 9 different viruses. These findings demonstrated that PEDV infected diarrheic pigs had an extensive RNA viral flora consisting of four different families: Astroviridae, Picornaviridae, Caliciviridae, and Coronaviridae.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 21%
Student > Ph. D. Student 11 18%
Student > Master 8 13%
Student > Bachelor 4 6%
Other 2 3%
Other 2 3%
Unknown 22 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 15%
Veterinary Science and Veterinary Medicine 8 13%
Biochemistry, Genetics and Molecular Biology 6 10%
Immunology and Microbiology 3 5%
Medicine and Dentistry 3 5%
Other 6 10%
Unknown 27 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 29 May 2018.
All research outputs
#4,132,640
of 23,073,835 outputs
Outputs from Virology Journal
#405
of 3,065 outputs
Outputs of similar age
#81,198
of 330,748 outputs
Outputs of similar age from Virology Journal
#7
of 40 outputs
Altmetric has tracked 23,073,835 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,065 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done well, scoring higher than 86% 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 330,748 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.