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Genetic variability and evolutionary dynamics of viruses of the family Closteroviridae

Overview of attention for article published in Frontiers in Microbiology, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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3 X users
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1 Wikipedia page

Citations

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95 Dimensions

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108 Mendeley
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Title
Genetic variability and evolutionary dynamics of viruses of the family Closteroviridae
Published in
Frontiers in Microbiology, January 2013
DOI 10.3389/fmicb.2013.00151
Pubmed ID
Authors

Luis Rubio, José Guerri, Pedro Moreno

Abstract

RNA viruses have a great potential for genetic variation, rapid evolution and adaptation. Characterization of the genetic variation of viral populations provides relevant information on the processes involved in virus evolution and epidemiology and it is crucial for designing reliable diagnostic tools and developing efficient and durable disease control strategies. Here we performed an updated analysis of sequences available in Genbank and reviewed present knowledge on the genetic variability and evolutionary processes of viruses of the family Closteroviridae. Several factors have shaped the genetic structure and diversity of closteroviruses. (I) A strong negative selection seems to be responsible for the high genetic stability in space and time for some viruses. (2) Long distance migration, probably by human transport of infected propagative plant material, have caused that genetically similar virus isolates are found in distant geographical regions. (3) Recombination between divergent sequence variants have generated new genotypes and plays an important role for the evolution of some viruses of the family Closteroviridae. (4) Interaction between virus strains or between different viruses in mixed infections may alter accumulation of certain strains. (5) Host change or virus transmission by insect vectors induced changes in the viral population structure due to positive selection of sequence variants with higher fitness for host-virus or vector-virus interaction (adaptation) or by genetic drift due to random selection of sequence variants during the population bottleneck associated to the transmission process.

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X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Unknown 107 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 24%
Student > Master 18 17%
Researcher 16 15%
Student > Doctoral Student 8 7%
Student > Bachelor 7 6%
Other 19 18%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 51%
Biochemistry, Genetics and Molecular Biology 24 22%
Psychology 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Mathematics 1 <1%
Other 6 6%
Unknown 17 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 May 2015.
All research outputs
#6,259,302
of 22,712,476 outputs
Outputs from Frontiers in Microbiology
#6,199
of 24,540 outputs
Outputs of similar age
#67,181
of 280,743 outputs
Outputs of similar age from Frontiers in Microbiology
#91
of 407 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 24,540 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 74% 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 280,743 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 407 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.