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Genomic selection accuracies within and between environments and small breeding groups in white spruce

Overview of attention for article published in BMC Genomics, December 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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2 news outlets
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4 X users

Citations

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92 Dimensions

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101 Mendeley
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Title
Genomic selection accuracies within and between environments and small breeding groups in white spruce
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-1048
Pubmed ID
Authors

Jean Beaulieu, Trevor K Doerksen, John MacKay, André Rainville, Jean Bousquet

Abstract

Genomic selection (GS) may improve selection response over conventional pedigree-based selection if markers capture more detailed information than pedigrees in recently domesticated tree species and/or make it more cost effective. Genomic prediction accuracies using 1748 trees and 6932 SNPs representative of as many distinct gene loci were determined for growth and wood traits in white spruce, within and between environments and breeding groups (BG), each with an effective size of Ne ≈ 20. Marker subsets were also tested.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Unknown 99 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 30%
Student > Ph. D. Student 21 21%
Student > Doctoral Student 9 9%
Student > Master 8 8%
Other 6 6%
Other 13 13%
Unknown 14 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 59%
Biochemistry, Genetics and Molecular Biology 10 10%
Environmental Science 5 5%
Mathematics 3 3%
Business, Management and Accounting 2 2%
Other 2 2%
Unknown 19 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 19 July 2017.
All research outputs
#1,871,556
of 25,371,288 outputs
Outputs from BMC Genomics
#405
of 11,244 outputs
Outputs of similar age
#24,891
of 368,842 outputs
Outputs of similar age from BMC Genomics
#14
of 305 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 368,842 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 305 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.