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Association analysis of frost tolerance in rye using candidate genes and phenotypic data from controlled, semi-controlled, and field phenotyping platforms

Overview of attention for article published in BMC Plant Biology, October 2011
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Mentioned by

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2 X users

Citations

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47 Dimensions

Readers on

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64 Mendeley
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1 CiteULike
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Title
Association analysis of frost tolerance in rye using candidate genes and phenotypic data from controlled, semi-controlled, and field phenotyping platforms
Published in
BMC Plant Biology, October 2011
DOI 10.1186/1471-2229-11-146
Pubmed ID
Authors

Yongle Li, Andreas Böck, Grit Haseneyer, Viktor Korzun, Peer Wilde, Chris-Carolin Schön, Donna P Ankerst, Eva Bauer

Abstract

Frost is an important abiotic stress that limits cereal production in the temperate zone. As the most frost tolerant small grain cereal, rye (Secale cereale L.) is an ideal cereal model for investigating the genetic basis of frost tolerance (FT), a complex trait with polygenic inheritance. Using 201 genotypes from five Eastern and Middle European winter rye populations, this study reports a multi-platform candidate gene-based association analysis in rye using 161 single nucleotide polymorphisms (SNPs) and nine insertion-deletion (Indel) polymorphisms previously identified from twelve candidate genes with a putative role in the frost responsive network.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Canada 2 3%
Belgium 2 3%
Netherlands 1 2%
Serbia 1 2%
Unknown 56 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Researcher 13 20%
Student > Master 9 14%
Student > Postgraduate 5 8%
Professor 4 6%
Other 11 17%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 77%
Biochemistry, Genetics and Molecular Biology 3 5%
Arts and Humanities 1 2%
Medicine and Dentistry 1 2%
Engineering 1 2%
Other 0 0%
Unknown 9 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 October 2011.
All research outputs
#13,658,669
of 22,655,397 outputs
Outputs from BMC Plant Biology
#1,047
of 3,205 outputs
Outputs of similar age
#88,239
of 140,441 outputs
Outputs of similar age from BMC Plant Biology
#7
of 11 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,205 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 66% 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 140,441 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.