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TRAPID: an efficient online tool for the functional and comparative analysis of de novo RNA-Seq transcriptomes

Overview of attention for article published in Genome Biology (Online Edition), January 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 (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
30 tweeters
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
229 Mendeley
citeulike
3 CiteULike
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Title
TRAPID: an efficient online tool for the functional and comparative analysis of de novo RNA-Seq transcriptomes
Published in
Genome Biology (Online Edition), January 2013
DOI 10.1186/gb-2013-14-12-r134
Pubmed ID
Authors

Michiel Van Bel, Sebastian Proost, Christophe Van Neste, Dieter Deforce, Yves Van de Peer, Klaas Vandepoele

Abstract

Transcriptome analysis through next-generation sequencing technologies allows the generation of detailed gene catalogs for non-model species, at the cost of new challenges with regards to computational requirements and bioinformatics expertise. Here, we present TRAPID, an online tool for the fast and efficient processing of assembled RNA-Seq transcriptome data, developed to mitigate these challenges. TRAPID offers high-throughput open reading frame detection, frameshift correction and includes a functional, comparative and phylogenetic toolbox, making use of 175 reference proteomes. Benchmarking and comparison against state-of-the-art transcript analysis tools reveals the efficiency and unique features of the TRAPID system. TRAPID is freely available at http://bioinformatics.psb.ugent.be/webtools/trapid/.

Twitter Demographics

The data shown below were collected from the profiles of 30 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 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Spain 4 2%
Brazil 3 1%
United Kingdom 2 <1%
Italy 2 <1%
Netherlands 1 <1%
Germany 1 <1%
Sweden 1 <1%
France 1 <1%
Other 4 2%
Unknown 206 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 25%
Researcher 57 25%
Student > Master 33 14%
Student > Bachelor 17 7%
Student > Doctoral Student 9 4%
Other 32 14%
Unknown 23 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 134 59%
Biochemistry, Genetics and Molecular Biology 32 14%
Environmental Science 8 3%
Computer Science 6 3%
Unspecified 3 1%
Other 11 5%
Unknown 35 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 02 October 2017.
All research outputs
#1,443,073
of 21,298,857 outputs
Outputs from Genome Biology (Online Edition)
#1,356
of 4,017 outputs
Outputs of similar age
#19,320
of 304,433 outputs
Outputs of similar age from Genome Biology (Online Edition)
#52
of 141 outputs
Altmetric has tracked 21,298,857 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 4,017 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has gotten more attention than average, scoring higher than 66% 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 304,433 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 93% of its contemporaries.
We're also able to compare this research output to 141 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 63% of its contemporaries.