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CloVR: A virtual machine for automated and portable sequence analysis from the desktop using cloud computing

Overview of attention for article published in BMC Bioinformatics, August 2011
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
29 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
224 Dimensions

Readers on

mendeley
401 Mendeley
citeulike
18 CiteULike
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Title
CloVR: A virtual machine for automated and portable sequence analysis from the desktop using cloud computing
Published in
BMC Bioinformatics, August 2011
DOI 10.1186/1471-2105-12-356
Pubmed ID
Authors

Samuel V Angiuoli, Malcolm Matalka, Aaron Gussman, Kevin Galens, Mahesh Vangala, David R Riley, Cesar Arze, James R White, Owen White, W Florian Fricke

Abstract

Next-generation sequencing technologies have decentralized sequence acquisition, increasing the demand for new bioinformatics tools that are easy to use, portable across multiple platforms, and scalable for high-throughput applications. Cloud computing platforms provide on-demand access to computing infrastructure over the Internet and can be used in combination with custom built virtual machines to distribute pre-packaged with pre-configured software.

Twitter Demographics

The data shown below were collected from the profiles of 29 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 401 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 23 6%
Brazil 5 1%
United Kingdom 4 <1%
Germany 3 <1%
Italy 3 <1%
France 3 <1%
Belgium 2 <1%
Norway 2 <1%
Sweden 2 <1%
Other 16 4%
Unknown 338 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 118 29%
Student > Ph. D. Student 79 20%
Student > Master 46 11%
Professor > Associate Professor 34 8%
Student > Bachelor 30 7%
Other 76 19%
Unknown 18 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 181 45%
Computer Science 75 19%
Biochemistry, Genetics and Molecular Biology 47 12%
Medicine and Dentistry 21 5%
Engineering 12 3%
Other 36 9%
Unknown 29 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 31 December 2016.
All research outputs
#388,546
of 11,336,895 outputs
Outputs from BMC Bioinformatics
#62
of 4,197 outputs
Outputs of similar age
#2,901
of 91,750 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 88 outputs
Altmetric has tracked 11,336,895 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,197 research outputs from this source. They receive a mean Attention Score of 4.9. 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 91,750 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 96% of its contemporaries.
We're also able to compare this research output to 88 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.