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Mapping-by-sequencing accelerates forward genetics in barley

Overview of attention for article published in Genome Biology, June 2014
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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6 X users
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2 Google+ users

Citations

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128 Dimensions

Readers on

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235 Mendeley
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2 CiteULike
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Title
Mapping-by-sequencing accelerates forward genetics in barley
Published in
Genome Biology, June 2014
DOI 10.1186/gb-2014-15-6-r78
Pubmed ID
Authors

Martin Mascher, Matthias Jost, Joel-Elias Kuon, Axel Himmelbach, Axel Aßfalg, Sebastian Beier, Uwe Scholz, Andreas Graner, Nils Stein

Abstract

Mapping-by-sequencing has emerged as a powerful technique for genetic mapping in several plant and animal species. As this resequencing-based method requires a reference genome, its application to complex plant genomes with incomplete and fragmented sequence resources remains challenging. We perform exome sequencing of phenotypic bulks of a mapping population of barley segregating for a mutant phenotype that increases the rate of leaf initiation. Read depth analysis identifies a candidate gene, which is confirmed by the analysis of independent mutant alleles. Our method illustrates how the genomic resources of barley together with exome resequencing can underpin mapping-by-sequencing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 <1%
Netherlands 1 <1%
France 1 <1%
Germany 1 <1%
Brazil 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Argentina 1 <1%
China 1 <1%
Other 3 1%
Unknown 222 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 67 29%
Student > Ph. D. Student 56 24%
Student > Master 28 12%
Student > Doctoral Student 14 6%
Student > Bachelor 11 5%
Other 28 12%
Unknown 31 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 149 63%
Biochemistry, Genetics and Molecular Biology 34 14%
Computer Science 6 3%
Engineering 3 1%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 5 2%
Unknown 37 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 July 2014.
All research outputs
#7,047,002
of 25,373,627 outputs
Outputs from Genome Biology
#3,232
of 4,467 outputs
Outputs of similar age
#63,205
of 244,219 outputs
Outputs of similar age from Genome Biology
#24
of 40 outputs
Altmetric has tracked 25,373,627 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 244,219 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 73% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.