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Identification of genome-wide single nucleotide polymorphisms in allopolyploid crop Brassica napus

Overview of attention for article published in BMC Genomics, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
68 Mendeley
citeulike
1 CiteULike
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Title
Identification of genome-wide single nucleotide polymorphisms in allopolyploid crop Brassica napus
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-717
Pubmed ID
Authors

Shunmou Huang, Linbin Deng, Mei Guan, Jiana Li, Kun Lu, Hanzhong Wang, Donghui Fu, Annaliese S Mason, Shengyi Liu, Wei Hua

Abstract

Single nucleotide polymorphisms (SNPs) are the most common type of genetic variation. Identification of large numbers of SNPs is helpful for genetic diversity analysis, map-based cloning, genome-wide association analyses and marker-assisted breeding. Recently, identifying genome-wide SNPs in allopolyploid Brassica napus (rapeseed, canola) by resequencing many accessions has become feasible, due to the availability of reference genomes of Brassica rapa (2n = AA) and Brassica oleracea (2n = CC), which are the progenitor species of B. napus (2n = AACC). Although many SNPs in B. napus have been released, the objective in the present study was to produce a larger, more informative set of SNPs for large-scale and efficient genotypic screening. Hence, short-read genome sequencing was conducted on ten elite B. napus accessions for SNP discovery. A subset of these SNPs was randomly selected for sequence validation and for genotyping efficiency testing using the Illumina GoldenGate assay.

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 31%
Researcher 19 28%
Student > Master 7 10%
Professor > Associate Professor 5 7%
Student > Bachelor 4 6%
Other 7 10%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 71%
Biochemistry, Genetics and Molecular Biology 9 13%
Computer Science 1 1%
Engineering 1 1%
Unknown 9 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 October 2013.
All research outputs
#2,859,914
of 12,373,620 outputs
Outputs from BMC Genomics
#1,532
of 7,313 outputs
Outputs of similar age
#35,974
of 171,430 outputs
Outputs of similar age from BMC Genomics
#9
of 30 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 79% 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 171,430 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 78% of its contemporaries.
We're also able to compare this research output to 30 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 63% of its contemporaries.