↓ Skip to main content

Galaxy CloudMan: delivering cloud compute clusters

Overview of attention for article published in BMC Bioinformatics, January 2010
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
117 Dimensions

Readers on

mendeley
217 Mendeley
citeulike
19 CiteULike
connotea
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Galaxy CloudMan: delivering cloud compute clusters
Published in
BMC Bioinformatics, January 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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 6%
Brazil 5 2%
France 4 2%
United Kingdom 4 2%
Italy 3 1%
Germany 2 <1%
Sweden 2 <1%
Colombia 1 <1%
Australia 1 <1%
Other 7 3%
Unknown 176 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 66 30%
Student > Ph. D. Student 42 19%
Student > Master 27 12%
Other 23 11%
Professor 13 6%
Other 39 18%
Unknown 7 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 90 41%
Computer Science 71 33%
Biochemistry, Genetics and Molecular Biology 18 8%
Engineering 7 3%
Medicine and Dentistry 6 3%
Other 14 6%
Unknown 11 5%

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 02 February 2012.
All research outputs
#3,344,684
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#1,536
of 4,576 outputs
Outputs of similar age
#55,355
of 223,720 outputs
Outputs of similar age from BMC Bioinformatics
#64
of 187 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 65% 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 223,720 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 74% of its contemporaries.
We're also able to compare this research output to 187 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 62% of its contemporaries.