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Genotypic but not phenotypic historical contingency revealed by viral experimental evolution

Overview of attention for article published in BMC Ecology and Evolution, February 2013
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Title
Genotypic but not phenotypic historical contingency revealed by viral experimental evolution
Published in
BMC Ecology and Evolution, February 2013
DOI 10.1186/1471-2148-13-46
Pubmed ID
Authors

Stéphanie Bedhomme, Guillaume Lafforgue, Santiago F Elena

Abstract

The importance of historical contingency in determining the potential of viral populations to evolve has been largely unappreciated. Identifying the constraints imposed by past adaptations is, however, of importance for understanding many questions in evolutionary biology, such as the evolution of host usage dynamics by multi-host viruses or the emergence of escape mutants that persist in the absence of antiviral treatments. To address this issue, we undertook an experimental approach in which sixty lineages of Tobacco etch potyvirus that differ in their past evolutionary history and degree of adaptation to Nicotiana tabacum were allowed to adapt to this host for 15 rounds of within host multiplication and transfer. We thereafter evaluated the degree of adaptation to the new host as well as to the original ones and characterized the consensus sequence of each lineage.

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The data shown below were collected from the profile of 1 X user 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 2 3%
Venezuela, Bolivarian Republic of 1 1%
United Kingdom 1 1%
Unknown 76 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 28%
Student > Ph. D. Student 18 23%
Student > Master 5 6%
Student > Bachelor 4 5%
Student > Doctoral Student 3 4%
Other 15 19%
Unknown 13 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 59%
Biochemistry, Genetics and Molecular Biology 10 13%
Immunology and Microbiology 2 3%
Unspecified 1 1%
Chemical Engineering 1 1%
Other 5 6%
Unknown 14 18%
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 February 2013.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#2,928
of 3,714 outputs
Outputs of similar age
#131,986
of 204,716 outputs
Outputs of similar age from BMC Ecology and Evolution
#55
of 74 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 204,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.