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Construction and application for QTL analysis of a Restriction Site Associated DNA (RAD) linkage map in barley

Overview of attention for article published in BMC Genomics, January 2011
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Title
Construction and application for QTL analysis of a Restriction Site Associated DNA (RAD) linkage map in barley
Published in
BMC Genomics, January 2011
DOI 10.1186/1471-2164-12-4
Pubmed ID
Authors

Yada Chutimanitsakun, Rick W Nipper, Alfonso Cuesta-Marcos, Luis Cistué, Ann Corey, Tanya Filichkina, Eric A Johnson, Patrick M Hayes

Abstract

Linkage maps are an integral resource for dissection of complex genetic traits in plant and animal species. Canonical map construction follows a well-established workflow: an initial discovery phase where genetic markers are mined from a small pool of individuals, followed by genotyping of selected mapping populations using sets of marker panels. A newly developed sequence-based marker technology, Restriction site Associated DNA (RAD), enables synchronous single nucleotide polymorphism (SNP) marker discovery and genotyping using massively parallel sequencing. The objective of this research was to assess the utility of RAD markers for linkage map construction, employing barley as a model system. Using the published high density EST-based SNP map in the Oregon Wolfe Barley (OWB) mapping population as a reference, we created a RAD map using a limited set of prior markers to establish linakge group identity, integrated the RAD and prior data, and used both maps for detection of quantitative trait loci (QTL).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 463 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
United Kingdom 5 1%
France 3 <1%
Colombia 3 <1%
Italy 3 <1%
Japan 3 <1%
Norway 2 <1%
Spain 2 <1%
China 2 <1%
Other 14 3%
Unknown 417 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 130 28%
Student > Ph. D. Student 118 25%
Student > Master 58 13%
Student > Doctoral Student 27 6%
Student > Postgraduate 23 5%
Other 72 16%
Unknown 35 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 355 77%
Biochemistry, Genetics and Molecular Biology 32 7%
Environmental Science 10 2%
Engineering 4 <1%
Medicine and Dentistry 3 <1%
Other 15 3%
Unknown 44 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 January 2011.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from BMC Genomics
#9,365
of 10,742 outputs
Outputs of similar age
#172,512
of 182,962 outputs
Outputs of similar age from BMC Genomics
#81
of 90 outputs
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We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.