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An evaluation of genotyping by sequencing (GBS) to map the Breviaristatum-e (ari-e) locus in cultivated barley

Overview of attention for article published in BMC Genomics, February 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
108 Dimensions

Readers on

mendeley
202 Mendeley
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1 CiteULike
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Title
An evaluation of genotyping by sequencing (GBS) to map the Breviaristatum-e (ari-e) locus in cultivated barley
Published in
BMC Genomics, February 2014
DOI 10.1186/1471-2164-15-104
Pubmed ID
Authors

Hui Liu, Micha Bayer, Arnis Druka, Joanne R Russell, Christine A Hackett, Jesse Poland, Luke Ramsay, Pete E Hedley, Robbie Waugh

Abstract

We explored the use of genotyping by sequencing (GBS) on a recombinant inbred line population (GPMx) derived from a cross between the two-rowed barley cultivar 'Golden Promise' (ari-e.GP/Vrs1) and the six-rowed cultivar 'Morex' (Ari-e/vrs1) to map plant height. We identified three Quantitative Trait Loci (QTL), the first in a region encompassing the spike architecture gene Vrs1 on chromosome 2H, the second in an uncharacterised centromeric region on chromosome 3H, and the third in a region of chromosome 5H coinciding with the previously described dwarfing gene Breviaristatum-e (Ari-e).

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Italy 3 1%
Australia 1 <1%
Zimbabwe 1 <1%
Netherlands 1 <1%
France 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Czechia 1 <1%
Other 3 1%
Unknown 186 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 31%
Researcher 59 29%
Student > Master 19 9%
Student > Doctoral Student 15 7%
Student > Postgraduate 14 7%
Other 24 12%
Unknown 8 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 150 74%
Biochemistry, Genetics and Molecular Biology 23 11%
Computer Science 6 3%
Engineering 2 <1%
Business, Management and Accounting 2 <1%
Other 5 2%
Unknown 14 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 May 2016.
All research outputs
#3,456,305
of 12,373,620 outputs
Outputs from BMC Genomics
#2,198
of 7,313 outputs
Outputs of similar age
#61,932
of 227,833 outputs
Outputs of similar age from BMC Genomics
#233
of 886 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 68% 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 227,833 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 886 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 72% of its contemporaries.