↓ Skip to main content

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

Overview of attention for article published in BMC Genomics, August 2012
Altmetric Badge

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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
8 tweeters

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
255 Mendeley
citeulike
4 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters 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 255 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 2%
Brazil 3 1%
Italy 3 1%
Australia 3 1%
India 1 <1%
Uganda 1 <1%
Paraguay 1 <1%
Canada 1 <1%
Other 5 2%
Unknown 227 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 68 27%
Student > Ph. D. Student 64 25%
Student > Master 35 14%
Other 16 6%
Student > Doctoral Student 14 5%
Other 46 18%
Unknown 12 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 185 73%
Biochemistry, Genetics and Molecular Biology 33 13%
Computer Science 9 4%
Chemistry 3 1%
Environmental Science 1 <1%
Other 2 <1%
Unknown 22 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 15 September 2012.
All research outputs
#1,259,278
of 12,373,620 outputs
Outputs from BMC Genomics
#665
of 7,313 outputs
Outputs of similar age
#12,660
of 123,745 outputs
Outputs of similar age from BMC Genomics
#4
of 59 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 89th 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 particularly well, scoring higher than 90% 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 123,745 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 89% of its contemporaries.
We're also able to compare this research output to 59 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 96% of its contemporaries.