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De novo assembly and analysis of RNA-seq data

Overview of attention for article published in Nature Methods, October 2010
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
2 blogs
twitter
10 tweeters
patent
1 patent
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
497 Dimensions

Readers on

mendeley
923 Mendeley
citeulike
40 CiteULike
Title
De novo assembly and analysis of RNA-seq data
Published in
Nature Methods, October 2010
DOI 10.1038/nmeth.1517
Pubmed ID
Authors

Gordon Robertson, Jacqueline Schein, Readman Chiu, Richard Corbett, Matthew Field, Shaun D Jackman, Karen Mungall, Sam Lee, Hisanaga Mark Okada, Jenny Q Qian, Malachi Griffith, Anthony Raymond, Nina Thiessen, Timothee Cezard, Yaron S Butterfield, Richard Newsome, Simon K Chan, Rong She, Richard Varhol, Baljit Kamoh, Anna-Liisa Prabhu, Angela Tam, YongJun Zhao, Richard A Moore, Martin Hirst, Marco A Marra, Steven J M Jones, Pamela A Hoodless, Inanc Birol

Abstract

We describe Trans-ABySS, a de novo short-read transcriptome assembly and analysis pipeline that addresses variation in local read densities by assembling read substrings with varying stringencies and then merging the resulting contigs before analysis. Analyzing 7.4 gigabases of 50-base-pair paired-end Illumina reads from an adult mouse liver poly(A) RNA library, we identified known, new and alternative structures in expressed transcripts, and achieved high sensitivity and specificity relative to reference-based assembly methods.

Twitter Demographics

The data shown below were collected from the profiles of 10 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 923 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 39 4%
United Kingdom 16 2%
Germany 11 1%
France 9 <1%
Spain 8 <1%
Canada 8 <1%
Brazil 8 <1%
Sweden 8 <1%
Italy 6 <1%
Other 52 6%
Unknown 758 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 266 29%
Researcher 250 27%
Student > Master 133 14%
Student > Bachelor 53 6%
Professor > Associate Professor 53 6%
Other 168 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 633 69%
Biochemistry, Genetics and Molecular Biology 126 14%
Computer Science 59 6%
Unspecified 38 4%
Medicine and Dentistry 19 2%
Other 48 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 08 October 2018.
All research outputs
#536,945
of 12,010,397 outputs
Outputs from Nature Methods
#801
of 3,469 outputs
Outputs of similar age
#3,888
of 92,026 outputs
Outputs of similar age from Nature Methods
#9
of 59 outputs
Altmetric has tracked 12,010,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,469 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one has done well, scoring higher than 76% 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 92,026 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 95% 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 well, scoring higher than 84% of its contemporaries.