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Genotyping-by-sequencing (GBS), an ultimate marker-assisted selection (MAS) tool to accelerate plant breeding

Overview of attention for article published in Frontiers in Plant Science, September 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
patent
2 patents
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

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482 Dimensions

Readers on

mendeley
1192 Mendeley
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1 CiteULike
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Title
Genotyping-by-sequencing (GBS), an ultimate marker-assisted selection (MAS) tool to accelerate plant breeding
Published in
Frontiers in Plant Science, September 2014
DOI 10.3389/fpls.2014.00484
Pubmed ID
Authors

Jiangfeng He, Xiaoqing Zhao, André Laroche, Zhen-Xiang Lu, HongKui Liu, Ziqin Li

Abstract

Marker-assisted selection (MAS) refers to the use of molecular markers to assist phenotypic selections in crop improvement. Several types of molecular markers, such as single nucleotide polymorphism (SNP), have been identified and effectively used in plant breeding. The application of next-generation sequencing (NGS) technologies has led to remarkable advances in whole genome sequencing, which provides ultra-throughput sequences to revolutionize plant genotyping and breeding. To further broaden NGS usages to large crop genomes such as maize and wheat, genotyping-by-sequencing (GBS) has been developed and applied in sequencing multiplexed samples that combine molecular marker discovery and genotyping. GBS is a novel application of NGS protocols for discovering and genotyping SNPs in crop genomes and populations. The GBS approach includes the digestion of genomic DNA with restriction enzymes followed by the ligation of barcode adapter, PCR amplification and sequencing of the amplified DNA pool on a single lane of flow cells. Bioinformatic pipelines are needed to analyze and interpret GBS datasets. As an ultimate MAS tool and a cost-effective technique, GBS has been successfully used in implementing genome-wide association study (GWAS), genomic diversity study, genetic linkage analysis, molecular marker discovery and genomic selection under a large scale of plant breeding programs.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 7 <1%
Italy 4 <1%
United States 3 <1%
Netherlands 3 <1%
Germany 2 <1%
Spain 2 <1%
India 2 <1%
France 1 <1%
Ghana 1 <1%
Other 8 <1%
Unknown 1159 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 270 23%
Student > Master 188 16%
Researcher 187 16%
Student > Doctoral Student 73 6%
Student > Bachelor 64 5%
Other 174 15%
Unknown 236 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 672 56%
Biochemistry, Genetics and Molecular Biology 169 14%
Environmental Science 13 1%
Engineering 8 <1%
Computer Science 8 <1%
Other 54 5%
Unknown 268 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 June 2023.
All research outputs
#1,949,350
of 22,765,347 outputs
Outputs from Frontiers in Plant Science
#777
of 20,063 outputs
Outputs of similar age
#23,230
of 252,704 outputs
Outputs of similar age from Frontiers in Plant Science
#11
of 190 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,063 research outputs from this source. They receive a mean Attention Score of 4.0. 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 252,704 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 90% of its contemporaries.
We're also able to compare this research output to 190 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 94% of its contemporaries.