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Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud

Overview of attention for article published in PLoS Computational Biology, August 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
143 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user

Readers on

mendeley
449 Mendeley
citeulike
8 CiteULike
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Title
Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud
Published in
PLoS Computational Biology, August 2015
DOI 10.1371/journal.pcbi.1004393
Pubmed ID
Authors

Malachi Griffith, Jason R. Walker, Nicholas C. Spies, Benjamin J. Ainscough, Obi L. Griffith, Griffith, Malachi, Walker, Jason R, Spies, Nicholas C, Ainscough, Benjamin J, Griffith, Obi L

Abstract

Massively parallel RNA sequencing (RNA-seq) has rapidly become the assay of choice for interrogating RNA transcript abundance and diversity. This article provides a detailed introduction to fundamental RNA-seq molecular biology and informatics concepts. We make available open-access RNA-seq tutorials that cover cloud computing, tool installation, relevant file formats, reference genomes, transcriptome annotations, quality-control strategies, expression, differential expression, and alternative splicing analysis methods. These tutorials and additional training resources are accompanied by complete analysis pipelines and test datasets made available without encumbrance at www.rnaseq.wiki.

Twitter Demographics

The data shown below were collected from the profiles of 143 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 449 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 2%
Germany 6 1%
Brazil 4 <1%
United Kingdom 4 <1%
Denmark 3 <1%
France 2 <1%
Czech Republic 2 <1%
Argentina 2 <1%
Australia 1 <1%
Other 13 3%
Unknown 402 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 125 28%
Researcher 107 24%
Student > Master 64 14%
Student > Bachelor 50 11%
Student > Postgraduate 23 5%
Other 80 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 223 50%
Biochemistry, Genetics and Molecular Biology 115 26%
Computer Science 23 5%
Unspecified 20 4%
Medicine and Dentistry 19 4%
Other 49 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 95. 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 03 March 2018.
All research outputs
#118,535
of 10,698,678 outputs
Outputs from PLoS Computational Biology
#157
of 4,551 outputs
Outputs of similar age
#3,565
of 234,783 outputs
Outputs of similar age from PLoS Computational Biology
#5
of 139 outputs
Altmetric has tracked 10,698,678 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,551 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done particularly well, scoring higher than 96% 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 234,783 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 98% of its contemporaries.
We're also able to compare this research output to 139 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 96% of its contemporaries.