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AVISPA: a web tool for the prediction and analysis of alternative splicing

Overview of attention for article published in Genome Biology, December 2013
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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 (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
13 X users
wikipedia
2 Wikipedia pages
googleplus
2 Google+ users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
145 Mendeley
citeulike
6 CiteULike
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Title
AVISPA: a web tool for the prediction and analysis of alternative splicing
Published in
Genome Biology, December 2013
DOI 10.1186/gb-2013-14-10-r114
Pubmed ID
Authors

Yoseph Barash, Jorge Vaquero-Garcia, Juan González-Vallinas, Hui Yuan Xiong, Weijun Gao, Leo J Lee, Brendan J Frey

Abstract

Transcriptome complexity and its relation to numerous diseases underpins the need to predict in silico splice variants and the regulatory elements that affect them. Building upon our recently described splicing code, we developed AVISPA, a Galaxy-based web tool for splicing prediction and analysis. Given an exon and its proximal sequence, the tool predicts whether the exon is alternatively spliced, displays tissue-dependent splicing patterns, and whether it has associated regulatory elements. We assess AVISPA's accuracy on an independent dataset of tissue-dependent exons, and illustrate how the tool can be applied to analyze a gene of interest. AVISPA is available at http://avispa.biociphers.org.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Chile 2 1%
Germany 1 <1%
Netherlands 1 <1%
Norway 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Portugal 1 <1%
Canada 1 <1%
Other 3 2%
Unknown 130 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 26%
Researcher 35 24%
Student > Master 13 9%
Professor 12 8%
Student > Doctoral Student 11 8%
Other 27 19%
Unknown 9 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 46%
Biochemistry, Genetics and Molecular Biology 33 23%
Computer Science 15 10%
Medicine and Dentistry 8 6%
Immunology and Microbiology 3 2%
Other 7 5%
Unknown 13 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 25 May 2020.
All research outputs
#3,008,979
of 25,373,627 outputs
Outputs from Genome Biology
#2,257
of 4,467 outputs
Outputs of similar age
#33,210
of 320,161 outputs
Outputs of similar age from Genome Biology
#50
of 97 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 320,161 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 97 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.