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Sequencing-based variant detection in the polyploid crop oilseed rape

Overview of attention for article published in BMC Plant Biology, August 2013
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Title
Sequencing-based variant detection in the polyploid crop oilseed rape
Published in
BMC Plant Biology, August 2013
DOI 10.1186/1471-2229-13-111
Pubmed ID
Authors

Rachel Wells, Martin Trick, Fiona Fraser, Eleni Soumpourou, Leah Clissold, Colin Morgan, Jérôme Pauquet, Ian Bancroft

Abstract

The detection and exploitation of genetic variation underpins crop improvement. However, the polyploid nature of the genomes of many of our most important crops represents a barrier, particularly for the analysis of variation within genes. To overcome this, we aimed to develop methodologies based on amplicon sequencing that involve the incorporation of barcoded amplification tags (BATs) into PCR products.

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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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 4%
Brazil 1 2%
United Kingdom 1 2%
Spain 1 2%
United States 1 2%
Unknown 44 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 42%
Student > Ph. D. Student 9 18%
Student > Master 6 12%
Student > Postgraduate 3 6%
Professor > Associate Professor 3 6%
Other 4 8%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 64%
Biochemistry, Genetics and Molecular Biology 6 12%
Medicine and Dentistry 2 4%
Nursing and Health Professions 1 2%
Neuroscience 1 2%
Other 0 0%
Unknown 8 16%
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 August 2013.
All research outputs
#15,274,954
of 22,715,151 outputs
Outputs from BMC Plant Biology
#1,477
of 3,222 outputs
Outputs of similar age
#121,848
of 197,230 outputs
Outputs of similar age from BMC Plant Biology
#8
of 19 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,222 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 42nd percentile – i.e., 42% 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 197,230 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
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 is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.