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High-density SNP genotyping array for hexaploid wheat and its secondary and tertiary gene pool

Overview of attention for article published in Plant Biotechnology Journal, October 2015
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
140 Dimensions

Readers on

mendeley
132 Mendeley
citeulike
1 CiteULike
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Title
High-density SNP genotyping array for hexaploid wheat and its secondary and tertiary gene pool
Published in
Plant Biotechnology Journal, October 2015
DOI 10.1111/pbi.12485
Pubmed ID
Authors

Mark O. Winfield, Alexandra M. Allen, Amanda J. Burridge, Gary L. A. Barker, Harriet R. Benbow, Paul A. Wilkinson, Jane Coghill, Christy Waterfall, Alessandro Davassi, Geoff Scopes, Ali Pirani, Teresa Webster, Fiona Brew, Claire Bloor, Julie King, Claire West, Simon Griffiths, Ian King, Alison R. Bentley, Keith J. Edwards

Abstract

In wheat, a lack of genetic diversity between breeding lines has been recognized as a significant block to future yield increases. Species belonging to bread wheat's secondary and tertiary gene pools harbour a much greater level of genetic variability, and are an important source of genes to broaden its genetic base. Introgression of novel genes from progenitors and related species has been widely employed to improve the agronomic characteristics of hexaploid wheat, but this approach has been hampered by a lack of markers that can be used to track introduced chromosome segments. Here, we describe the identification of a large number of single nucleotide polymorphisms that can be used to genotype hexaploid wheat and to identify and track introgressions from a variety of sources. We have validated these markers using an ultra-high-density Axiom(®) genotyping array to characterize a range of diploid, tetraploid and hexaploid wheat accessions and wheat relatives. To facilitate the use of these, both the markers and the associated sequence and genotype information have been made available through an interactive web site.

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Denmark 1 <1%
Canada 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 126 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 35%
Researcher 30 23%
Student > Master 17 13%
Student > Doctoral Student 11 8%
Student > Bachelor 8 6%
Other 10 8%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 98 74%
Biochemistry, Genetics and Molecular Biology 12 9%
Computer Science 3 2%
Psychology 2 2%
Physics and Astronomy 1 <1%
Other 2 2%
Unknown 14 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 November 2015.
All research outputs
#2,213,867
of 13,845,249 outputs
Outputs from Plant Biotechnology Journal
#378
of 1,329 outputs
Outputs of similar age
#46,339
of 252,572 outputs
Outputs of similar age from Plant Biotechnology Journal
#10
of 39 outputs
Altmetric has tracked 13,845,249 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,329 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has gotten more attention than average, scoring higher than 71% 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 252,572 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 81% of its contemporaries.
We're also able to compare this research output to 39 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 74% of its contemporaries.