↓ Skip to main content

Estimation of alternative splicing isoform frequencies from RNA-Seq data

Overview of attention for article published in Algorithms for Molecular Biology, April 2011
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 264)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

blogs
3 blogs
patent
2 patents

Citations

dimensions_citation
153 Dimensions

Readers on

mendeley
210 Mendeley
citeulike
15 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
Estimation of alternative splicing isoform frequencies from RNA-Seq data
Published in
Algorithms for Molecular Biology, April 2011
DOI 10.1186/1748-7188-6-9
Pubmed ID
Authors

Marius Nicolae, Serghei Mangul, Ion I Măndoiu, Alex Zelikovsky

Abstract

Massively parallel whole transcriptome sequencing, commonly referred as RNA-Seq, is quickly becoming the technology of choice for gene expression profiling. However, due to the short read length delivered by current sequencing technologies, estimation of expression levels for alternative splicing gene isoforms remains challenging.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 5%
Germany 4 2%
Italy 4 2%
United Kingdom 3 1%
Spain 3 1%
France 2 <1%
Portugal 1 <1%
Canada 1 <1%
Sweden 1 <1%
Other 2 <1%
Unknown 179 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 29%
Student > Ph. D. Student 60 29%
Student > Master 20 10%
Student > Bachelor 18 9%
Student > Doctoral Student 9 4%
Other 32 15%
Unknown 10 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 115 55%
Biochemistry, Genetics and Molecular Biology 36 17%
Computer Science 21 10%
Mathematics 4 2%
Medicine and Dentistry 4 2%
Other 15 7%
Unknown 15 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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
#1,439,710
of 22,971,207 outputs
Outputs from Algorithms for Molecular Biology
#3
of 264 outputs
Outputs of similar age
#5,933
of 109,828 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 2 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 98% 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 109,828 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 94% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them