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Evaluation of the capability of the PCV2 genome to encode miRNAs: lack of viral miRNA expression in an experimental infection

Overview of attention for article published in Veterinary Research, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
3 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Evaluation of the capability of the PCV2 genome to encode miRNAs: lack of viral miRNA expression in an experimental infection
Published in
Veterinary Research, May 2015
DOI 10.1186/s13567-015-0181-4
Pubmed ID
Authors

Fernando Núñez-Hernández, Lester J Pérez, Gonzalo Vera, Sarai Córdoba, Joaquim Segalés, Armand Sánchez, José I Núñez

Abstract

Porcine circovirus type 2 (PCV2) is a ssDNA virus causing PCV2-systemic disease (PCV2-SD), one of the most important diseases in swine. MicroRNAs (miRNAs) are a new class of small non-coding RNAs that regulate gene expression post-transcriptionally. Viral miRNAs have recently been described and the number of viral miRNAs has been increasing in the past few years. In this study, small RNA libraries were constructed from two tissues of subclinically PCV2 infected pigs to explore if PCV2 can encode viral miRNAs. The deep sequencing data revealed that PCV2 does not express miRNAs in an in vivo subclinical infection.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 31%
Student > Master 4 25%
Student > Ph. D. Student 2 13%
Professor 2 13%
Professor > Associate Professor 2 13%
Other 0 0%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 25%
Veterinary Science and Veterinary Medicine 3 19%
Biochemistry, Genetics and Molecular Biology 3 19%
Computer Science 2 13%
Immunology and Microbiology 1 6%
Other 2 13%
Unknown 1 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 2016.
All research outputs
#1,282,489
of 12,378,406 outputs
Outputs from Veterinary Research
#53
of 792 outputs
Outputs of similar age
#31,933
of 229,284 outputs
Outputs of similar age from Veterinary Research
#2
of 21 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 792 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 93% 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 229,284 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 85% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.