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Haplotype and isoform specific expression estimation using multi-mapping RNA-seq reads

Overview of attention for article published in Genome Biology (Online Edition), January 2011
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
1 blog
twitter
4 tweeters
patent
1 patent

Citations

dimensions_citation
215 Dimensions

Readers on

mendeley
409 Mendeley
citeulike
11 CiteULike
connotea
1 Connotea
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Title
Haplotype and isoform specific expression estimation using multi-mapping RNA-seq reads
Published in
Genome Biology (Online Edition), January 2011
DOI 10.1186/gb-2011-12-2-r13
Pubmed ID
Authors

Ernest Turro, Shu-Yi Su, Ângela Gonçalves, Lachlan JM Coin, Sylvia Richardson, Alex Lewin

Abstract

We present a novel pipeline and methodology for simultaneously estimating isoform expression and allelic imbalance in diploid organisms using RNA-seq data. We achieve this by modeling the expression of haplotype-specific isoforms. If unknown, the two parental isoform sequences can be individually reconstructed. A new statistical method, MMSEQ, deconvolves the mapping of reads to multiple transcripts (isoforms or haplotype-specific isoforms). Our software can take into account non-uniform read generation and works with paired-end reads.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 409 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 19 5%
United Kingdom 5 1%
Germany 4 <1%
France 3 <1%
Italy 3 <1%
Brazil 2 <1%
Sweden 2 <1%
Spain 2 <1%
Hong Kong 1 <1%
Other 10 2%
Unknown 358 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 118 29%
Student > Ph. D. Student 117 29%
Student > Master 42 10%
Professor > Associate Professor 28 7%
Professor 19 5%
Other 63 15%
Unknown 22 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 237 58%
Biochemistry, Genetics and Molecular Biology 65 16%
Computer Science 34 8%
Medicine and Dentistry 13 3%
Mathematics 12 3%
Other 19 5%
Unknown 29 7%

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 28 July 2022.
All research outputs
#2,483,507
of 22,971,207 outputs
Outputs from Genome Biology (Online Edition)
#1,992
of 4,136 outputs
Outputs of similar age
#14,864
of 181,601 outputs
Outputs of similar age from Genome Biology (Online Edition)
#45
of 140 outputs
Altmetric has tracked 22,971,207 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 4,136 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 51% 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 181,601 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 91% of its contemporaries.
We're also able to compare this research output to 140 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 67% of its contemporaries.