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Personalized cloud-based bioinformatics services for research and education: use cases and the elasticHPC package

Overview of attention for article published in BMC Bioinformatics, December 2012
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Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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22 Dimensions

Readers on

mendeley
46 Mendeley
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3 CiteULike
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Title
Personalized cloud-based bioinformatics services for research and education: use cases and the elasticHPC package
Published in
BMC Bioinformatics, December 2012
DOI 10.1186/1471-2105-13-s17-s22
Pubmed ID
Authors

Mohamed El-Kalioby, Mohamed Abouelhoda, Jan Krüger, Robert Giegerich, Alexander Sczyrba, Dennis P Wall, Peter Tonellato

Abstract

Bioinformatics services have been traditionally provided in the form of a web-server that is hosted at institutional infrastructure and serves multiple users. This model, however, is not flexible enough to cope with the increasing number of users, increasing data size, and new requirements in terms of speed and availability of service. The advent of cloud computing suggests a new service model that provides an efficient solution to these problems, based on the concepts of "resources-on-demand" and "pay-as-you-go". However, cloud computing has not yet been introduced within bioinformatics servers due to the lack of usage scenarios and software layers that address the requirements of the bioinformatics domain.

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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Sweden 1 2%
Canada 1 2%
China 1 2%
United States 1 2%
Unknown 41 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 26%
Student > Ph. D. Student 7 15%
Student > Master 5 11%
Student > Doctoral Student 4 9%
Student > Bachelor 4 9%
Other 8 17%
Unknown 6 13%
Readers by discipline Count As %
Computer Science 19 41%
Agricultural and Biological Sciences 8 17%
Engineering 5 11%
Biochemistry, Genetics and Molecular Biology 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 4%
Unknown 6 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 October 2013.
All research outputs
#17,689,573
of 22,711,645 outputs
Outputs from BMC Bioinformatics
#5,919
of 7,259 outputs
Outputs of similar age
#208,637
of 278,907 outputs
Outputs of similar age from BMC Bioinformatics
#107
of 138 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,259 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 278,907 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.