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Discovery and development of exome‐based, co‐dominant single nucleotide polymorphism markers in hexaploid wheat (Triticum aestivum L.)

Overview of attention for article published in Plant Biotechnology Journal, December 2012
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  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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1 patent

Citations

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126 Dimensions

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140 Mendeley
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1 CiteULike
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Title
Discovery and development of exome‐based, co‐dominant single nucleotide polymorphism markers in hexaploid wheat (Triticum aestivum L.)
Published in
Plant Biotechnology Journal, December 2012
DOI 10.1111/pbi.12009
Pubmed ID
Authors

Alexandra M. Allen, Gary L. A. Barker, Paul Wilkinson, Amanda Burridge, Mark Winfield, Jane Coghill, Cristobal Uauy, Simon Griffiths, Peter Jack, Simon Berry, Peter Werner, James P. E. Melichar, Jane McDougall, Rhian Gwilliam, Phil Robinson, Keith J. Edwards

Abstract

Globally, wheat is the most widely grown crop and one of the three most important crops for human and livestock feed. However, the complex nature of the wheat genome has, until recently, resulted in a lack of single nucleotide polymorphism (SNP)-based molecular markers of practical use to wheat breeders. Recently, large numbers of SNP-based wheat markers have been made available via the use of next-generation sequencing combined with a variety of genotyping platforms. However, many of these markers and platforms have difficulty distinguishing between heterozygote and homozygote individuals and are therefore of limited use to wheat breeders carrying out commercial-scale breeding programmes. To identify exome-based co-dominant SNP-based assays, which are capable of distinguishing between heterozygotes and homozygotes, we have used targeted re-sequencing of the wheat exome to generate large amounts of genomic sequences from eight varieties. Using a bioinformatics approach, these sequences have been used to identify 95 266 putative single nucleotide polymorphisms, of which 10 251 were classified as being putatively co-dominant. Validation of a subset of these putative co-dominant markers confirmed that 96% were true polymorphisms and 65% were co-dominant SNP assays. The new co-dominant markers described here are capable of genotypic classification of a segregating locus in polyploid wheat and can be used on a variety of genotyping platforms; as such, they represent a powerful tool for wheat breeders. These markers and related information have been made publically available on an interactive web-based database to facilitate their use on genotyping programmes worldwide.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Italy 1 <1%
Sweden 1 <1%
Paraguay 1 <1%
Canada 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 132 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 29%
Researcher 36 26%
Student > Doctoral Student 11 8%
Student > Bachelor 9 6%
Other 8 6%
Other 16 11%
Unknown 20 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 68%
Biochemistry, Genetics and Molecular Biology 16 11%
Environmental Science 2 1%
Unspecified 1 <1%
Arts and Humanities 1 <1%
Other 3 2%
Unknown 22 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 13 September 2023.
All research outputs
#6,524,935
of 24,712,008 outputs
Outputs from Plant Biotechnology Journal
#919
of 2,170 outputs
Outputs of similar age
#65,298
of 291,001 outputs
Outputs of similar age from Plant Biotechnology Journal
#8
of 18 outputs
Altmetric has tracked 24,712,008 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,170 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 57% 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 291,001 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.