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Development of SNP markers for genes of the phenylpropanoid pathway and their association to kernel and malting traits in barley

Overview of attention for article published in BMC Genomic Data, October 2013
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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)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

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22 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Development of SNP markers for genes of the phenylpropanoid pathway and their association to kernel and malting traits in barley
Published in
BMC Genomic Data, October 2013
DOI 10.1186/1471-2156-14-97
Pubmed ID
Authors

Manuela Peukert, Stephan Weise, Marion S Röder, Inge E Matthies

Abstract

Flavonoids are an important class of secondary compounds in angiosperms. Next to certain biological functions in plants, they play a role in the brewing process and have an effect on taste, color and aroma of beer. The aim of this study was to reveal the haplotype diversity of candidate genes involved in the phenylpropanoid biosynthesis pathway in cultivated barley varieties (Hordeum vulgare L.) and to determine associations to kernel and malting quality parameters.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 3%
Czechia 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Ph. D. Student 7 21%
Student > Master 3 9%
Other 1 3%
Student > Bachelor 1 3%
Other 2 6%
Unknown 10 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 41%
Biochemistry, Genetics and Molecular Biology 8 24%
Medicine and Dentistry 1 3%
Engineering 1 3%
Unknown 10 29%
Attention Score in Context

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 03 October 2013.
All research outputs
#4,759,171
of 25,374,647 outputs
Outputs from BMC Genomic Data
#156
of 1,204 outputs
Outputs of similar age
#40,955
of 220,038 outputs
Outputs of similar age from BMC Genomic Data
#3
of 19 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 87% 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 220,038 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 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.