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Optimizing de novo common wheat transcriptome assembly using short-read RNA-Seq data

Overview of attention for article published in BMC Genomics, August 2012
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
6 X users
patent
5 patents

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
267 Mendeley
citeulike
4 CiteULike
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Title
Optimizing de novo common wheat transcriptome assembly using short-read RNA-Seq data
Published in
BMC Genomics, August 2012
DOI 10.1186/1471-2164-13-392
Pubmed ID
Authors

Jialei Duan, Chuan Xia, Guangyao Zhao, Jizeng Jia, Xiuying Kong

Abstract

Rapid advances in next-generation sequencing methods have provided new opportunities for transcriptome sequencing (RNA-Seq). The unprecedented sequencing depth provided by RNA-Seq makes it a powerful and cost-efficient method for transcriptome study, and it has been widely used in model organisms and non-model organisms to identify and quantify RNA. For non-model organisms lacking well-defined genomes, de novo assembly is typically required for downstream RNA-Seq analyses, including SNP discovery and identification of genes differentially expressed by phenotypes. Although RNA-Seq has been successfully used to sequence many non-model organisms, the results of de novo assembly from short reads can still be improved by using recent bioinformatic developments.

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

Geographical breakdown

Country Count As %
United States 6 2%
Germany 4 1%
Australia 3 1%
Italy 3 1%
Brazil 3 1%
Uganda 1 <1%
India 1 <1%
Paraguay 1 <1%
Canada 1 <1%
Other 5 2%
Unknown 239 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 70 26%
Student > Ph. D. Student 66 25%
Student > Master 36 13%
Other 17 6%
Student > Doctoral Student 14 5%
Other 51 19%
Unknown 13 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 189 71%
Biochemistry, Genetics and Molecular Biology 34 13%
Computer Science 10 4%
Unspecified 4 1%
Chemistry 3 1%
Other 4 1%
Unknown 23 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 November 2023.
All research outputs
#2,525,830
of 24,081,774 outputs
Outputs from BMC Genomics
#755
of 10,901 outputs
Outputs of similar age
#16,381
of 170,286 outputs
Outputs of similar age from BMC Genomics
#6
of 112 outputs
Altmetric has tracked 24,081,774 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,901 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 93% 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 170,286 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.