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Galaxy CloudMan: delivering cloud compute clusters

Overview of attention for article published in BMC Bioinformatics, December 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
1 X user
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
140 Dimensions

Readers on

mendeley
228 Mendeley
citeulike
19 CiteULike
connotea
1 Connotea
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Title
Galaxy CloudMan: delivering cloud compute clusters
Published in
BMC Bioinformatics, December 2010
DOI 10.1186/1471-2105-11-s12-s4
Pubmed ID
Authors

Enis Afgan, Dannon Baker, Nate Coraor, Brad Chapman, Anton Nekrutenko, James Taylor

Abstract

Widespread adoption of high-throughput sequencing has greatly increased the scale and sophistication of computational infrastructure needed to perform genomic research. An alternative to building and maintaining local infrastructure is "cloud computing", which, in principle, offers on demand access to flexible computational infrastructure. However, cloud computing resources are not yet suitable for immediate "as is" use by experimental biologists.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 5%
Brazil 5 2%
France 4 2%
United Kingdom 4 2%
Italy 2 <1%
Germany 2 <1%
Australia 1 <1%
Sweden 1 <1%
Norway 1 <1%
Other 4 2%
Unknown 192 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 69 30%
Student > Ph. D. Student 46 20%
Student > Master 25 11%
Other 23 10%
Professor 13 6%
Other 42 18%
Unknown 10 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 91 40%
Computer Science 70 31%
Biochemistry, Genetics and Molecular Biology 21 9%
Medicine and Dentistry 7 3%
Engineering 7 3%
Other 17 7%
Unknown 15 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 March 2013.
All research outputs
#6,911,194
of 22,662,201 outputs
Outputs from BMC Bioinformatics
#2,683
of 7,242 outputs
Outputs of similar age
#50,966
of 181,686 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 52 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,242 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% 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 181,686 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 52 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 65% of its contemporaries.