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Cloud BioLinux: pre-configured and on-demand bioinformatics computing for the genomics community

Overview of attention for article published in BMC Bioinformatics, March 2012
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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 (#50 of 7,571)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
2 blogs
twitter
43 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
1 Google+ user
q&a
1 Q&A thread

Citations

dimensions_citation
145 Dimensions

Readers on

mendeley
311 Mendeley
citeulike
23 CiteULike
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Title
Cloud BioLinux: pre-configured and on-demand bioinformatics computing for the genomics community
Published in
BMC Bioinformatics, March 2012
DOI 10.1186/1471-2105-13-42
Pubmed ID
Authors

Konstantinos Krampis, Tim Booth, Brad Chapman, Bela Tiwari, Mesude Bicak, Dawn Field, Karen E Nelson

Abstract

A steep drop in the cost of next-generation sequencing during recent years has made the technology affordable to the majority of researchers, but downstream bioinformatic analysis still poses a resource bottleneck for smaller laboratories and institutes that do not have access to substantial computational resources. Sequencing instruments are typically bundled with only the minimal processing and storage capacity required for data capture during sequencing runs. Given the scale of sequence datasets, scientific value cannot be obtained from acquiring a sequencer unless it is accompanied by an equal investment in informatics infrastructure.

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 311 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 5%
United Kingdom 5 2%
Germany 4 1%
Brazil 3 <1%
Sweden 3 <1%
France 2 <1%
Norway 2 <1%
Netherlands 2 <1%
Colombia 2 <1%
Other 12 4%
Unknown 262 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 89 29%
Student > Ph. D. Student 61 20%
Student > Master 44 14%
Student > Bachelor 24 8%
Professor > Associate Professor 23 7%
Other 56 18%
Unknown 14 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 145 47%
Computer Science 73 23%
Biochemistry, Genetics and Molecular Biology 37 12%
Medicine and Dentistry 12 4%
Engineering 7 2%
Other 20 6%
Unknown 17 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 10 June 2015.
All research outputs
#815,617
of 24,694,993 outputs
Outputs from BMC Bioinformatics
#50
of 7,571 outputs
Outputs of similar age
#3,845
of 163,775 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 65 outputs
Altmetric has tracked 24,694,993 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 7,571 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 163,775 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 97% of its contemporaries.
We're also able to compare this research output to 65 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 99% of its contemporaries.