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Genome-wide distribution of genetic diversity and linkage disequilibrium in a mass-selected population of maritime pine

Overview of attention for article published in BMC Genomics, March 2014
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2 X users

Citations

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32 Dimensions

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76 Mendeley
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Title
Genome-wide distribution of genetic diversity and linkage disequilibrium in a mass-selected population of maritime pine
Published in
BMC Genomics, March 2014
DOI 10.1186/1471-2164-15-171
Pubmed ID
Authors

Christophe Plomion, Emilie Chancerel, Jeffrey Endelman, Jean-Baptiste Lamy, Eric Mandrou, Isabelle Lesur, François Ehrenmann, Fikret Isik, Marco CAM Bink, Joost van Heerwaarden, Laurent Bouffier

Abstract

The accessibility of high-throughput genotyping technologies has contributed greatly to the development of genomic resources in non-model organisms. High-density genotyping arrays have only recently been developed for some economically important species such as conifers. The potential for using genomic technologies in association mapping and breeding depends largely on the genome wide patterns of diversity and linkage disequilibrium in current breeding populations. This study aims to deepen our knowledge regarding these issues in maritime pine, the first species used for reforestation in south western Europe.

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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
United States 1 1%
Netherlands 1 1%
Brazil 1 1%
Unknown 71 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 37%
Student > Ph. D. Student 17 22%
Student > Master 7 9%
Student > Doctoral Student 4 5%
Professor > Associate Professor 3 4%
Other 8 11%
Unknown 9 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 62%
Biochemistry, Genetics and Molecular Biology 9 12%
Environmental Science 3 4%
Business, Management and Accounting 1 1%
Earth and Planetary Sciences 1 1%
Other 2 3%
Unknown 13 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 December 2014.
All research outputs
#16,721,208
of 25,371,288 outputs
Outputs from BMC Genomics
#6,569
of 11,244 outputs
Outputs of similar age
#137,393
of 236,365 outputs
Outputs of similar age from BMC Genomics
#118
of 223 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% 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 236,365 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 223 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.