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VennBLAST—Whole transcriptome comparison and visualization tool

Overview of attention for article published in Genomics, December 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 5,926)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
3 blogs
twitter
24 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
124 Mendeley
citeulike
1 CiteULike
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Title
VennBLAST—Whole transcriptome comparison and visualization tool
Published in
Genomics, December 2014
DOI 10.1016/j.ygeno.2014.12.004
Pubmed ID
Authors

Tamar Zahavi, Gil Stelzer, Lior Strauss, Asher Y. Salmon, Mali Salmon-Divon

Abstract

RNA-seq is the method of choice for getting a primary list of genes for non-model organisms. Once this is achieved, one would proceed to annotate the newly discovered genes and consequently strive to position the organism in an evolutionary context. These kinds of studies involving high-throughput sequencing generate large amounts of data, whose analysis might be time consuming for the non-specialist user and merits computational skills. Here we describe VennBLAST, a set of high-performance utilities that combines fast parallelized BLAST filtering with a visualization tool for whole-transcriptomic alignment comparison using Venn diagrams. The software accurately illustrates simple set relationships between numbers of matching sequences and identifies transcriptome conservation among different organisms. The intuitive Venn diagram visualization allows researchers to easily select a desired subset of genes for further inspection, using the DAVID functional annotation tools, for instance, which enables investigators to understand biological meaning behind large lists of genes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Chile 1 <1%
Uruguay 1 <1%
Brazil 1 <1%
Germany 1 <1%
Slovakia 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Argentina 1 <1%
Other 0 0%
Unknown 113 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 27%
Student > Ph. D. Student 27 22%
Student > Master 10 8%
Student > Bachelor 9 7%
Student > Doctoral Student 7 6%
Other 18 15%
Unknown 19 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 48%
Biochemistry, Genetics and Molecular Biology 19 15%
Environmental Science 5 4%
Computer Science 4 3%
Medicine and Dentistry 3 2%
Other 12 10%
Unknown 21 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 01 December 2015.
All research outputs
#1,229,962
of 25,410,626 outputs
Outputs from Genomics
#24
of 5,926 outputs
Outputs of similar age
#16,053
of 360,151 outputs
Outputs of similar age from Genomics
#2
of 24 outputs
Altmetric has tracked 25,410,626 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 5,926 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% 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 360,151 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 24 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 95% of its contemporaries.