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Revisiting the taxonomical classification of Porcine Circovirus type 2 (PCV2): still a real challenge

Overview of attention for article published in Virology Journal, August 2015
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Revisiting the taxonomical classification of Porcine Circovirus type 2 (PCV2): still a real challenge
Published in
Virology Journal, August 2015
DOI 10.1186/s12985-015-0361-x
Pubmed ID
Authors

Giovanni Franzo, Martí Cortey, Alex Olvera, Dinko Novosel, Alessandra Marnie Martins Gomes De Castro, Philippe Biagini, Joaquim Segalés, Michele Drigo

Abstract

PCV2 has emerged as one of the most devastating viral infections of swine farming, causing a relevant economic impact due to direct losses and control strategies expenses. Epidemiological and experimental studies have evidenced that genetic diversity is potentially affecting the virulence of PVC2. The growing number of PCV2 complete genomes and partial sequences available at GenBank questioned the accepted PCV2 classification. Nine hundred seventy five PCV2 complete genomes and 1,270 ORF2 sequences available from GenBank were subjected to recombination, PASC and phylogenetic analyses and results were used for comparison with previous classification scheme. The outcome of these analyses favors the recognition of four genotypes on the basis of ORF2 sequences, namely PCV2a, PCV2b, PCV2c and PCV2d-mPCV2b. To deal with the difficulty of founding an unambiguous classification and accounting the impossibility to define a p-distance cut-off, a set of reference sequences that could be used in further phylogenetic studies for PCV2 genotyping was established. Being aware that extensive phylogenetic analyses are time-consuming and often impracticable during routine diagnostic activity, ORF2 nucleotide positions adequately conserved in the reference sequences were identified and reported to allow a quick genotype differentiation. Globally, the present work provides an updated scenario of PCV2 genotypes distribution and, based on the limits of the previous classification criteria, proposes new rapid and effective schemes for differentiating the four defined PCV2 genotypes.

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X Demographics

The data shown below were collected from the profiles of 5 X users 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Student > Master 10 14%
Student > Bachelor 7 10%
Other 6 8%
Student > Doctoral Student 5 7%
Other 16 22%
Unknown 13 18%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 26 36%
Agricultural and Biological Sciences 10 14%
Medicine and Dentistry 6 8%
Biochemistry, Genetics and Molecular Biology 5 7%
Immunology and Microbiology 4 6%
Other 5 7%
Unknown 16 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 November 2015.
All research outputs
#12,873,978
of 22,826,360 outputs
Outputs from Virology Journal
#1,198
of 3,043 outputs
Outputs of similar age
#118,094
of 268,158 outputs
Outputs of similar age from Virology Journal
#17
of 60 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,043 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 gotten more attention than average, scoring higher than 60% 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 268,158 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.