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The genetic structure of a Venturia inaequalis population in a heterogeneous host population composed of different Malusspecies

Overview of attention for article published in BMC Ecology and Evolution, March 2013
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Title
The genetic structure of a Venturia inaequalis population in a heterogeneous host population composed of different Malusspecies
Published in
BMC Ecology and Evolution, March 2013
DOI 10.1186/1471-2148-13-64
Pubmed ID
Authors

Thibault Leroy, Christophe Lemaire, Frank Dunemann, Bruno Le Cam

Abstract

Adaptation, which induces differentiation between populations in relation to environmental conditions, can initiate divergence. The balance between gene flow and selection determines the maintenance of such a structure in sympatry. Studying these two antagonistic forces in plant pathogens is made possible because of the high ability of pathogens to disperse and of the strong selective pressures exerted by their hosts. In this article, we analysed the genetic structure of the population of the apple scab fungus, Venturia inaequalis, in a heterogeneous environment composed of various Malus species. Inferences were drawn from microsatellite and AFLP data obtained from 114 strains sampled in a single orchard on nine different Malus species to determine the forces that shape the genetic structure of the pathogen.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
Latvia 1 2%
United States 1 2%
Greece 1 2%
Unknown 42 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 33%
Researcher 11 24%
Professor > Associate Professor 4 9%
Student > Bachelor 3 7%
Other 2 4%
Other 5 11%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 61%
Environmental Science 3 7%
Medicine and Dentistry 3 7%
Biochemistry, Genetics and Molecular Biology 2 4%
Nursing and Health Professions 2 4%
Other 1 2%
Unknown 7 15%
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 12 March 2013.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from BMC Ecology and Evolution
#3,267
of 3,714 outputs
Outputs of similar age
#160,935
of 208,544 outputs
Outputs of similar age from BMC Ecology and Evolution
#64
of 70 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 5th percentile – i.e., 5% 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 208,544 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.