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Bioinformatics clouds for big data manipulation

Overview of attention for article published in Biology Direct, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 534)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
29 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
361 Mendeley
citeulike
11 CiteULike
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Title
Bioinformatics clouds for big data manipulation
Published in
Biology Direct, November 2012
DOI 10.1186/1745-6150-7-43
Pubmed ID
Authors

Lin Dai, Xin Gao, Yan Guo, Jingfa Xiao, Zhang Zhang

Abstract

As advances in life sciences and information technology bring profound influences on bioinformatics due to its interdisciplinary nature, bioinformatics is experiencing a new leap-forward from in-house computing infrastructure into utility-supplied cloud computing delivered over the Internet, in order to handle the vast quantities of biological data generated by high-throughput experimental technologies. Albeit relatively new, cloud computing promises to address big data storage and analysis issues in the bioinformatics field. Here we review extant cloud-based services in bioinformatics, classify them into Data as a Service (DaaS), Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS), and present our perspectives on the adoption of cloud computing in bioinformatics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 361 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 4%
United Kingdom 5 1%
France 4 1%
Brazil 4 1%
Netherlands 3 <1%
Korea, Republic of 2 <1%
Germany 2 <1%
Spain 2 <1%
Panama 1 <1%
Other 8 2%
Unknown 317 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 83 23%
Student > Master 78 22%
Student > Ph. D. Student 68 19%
Student > Bachelor 35 10%
Other 15 4%
Other 54 15%
Unknown 28 8%
Readers by discipline Count As %
Computer Science 120 33%
Agricultural and Biological Sciences 101 28%
Biochemistry, Genetics and Molecular Biology 38 11%
Engineering 18 5%
Medicine and Dentistry 11 3%
Other 36 10%
Unknown 37 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 26 January 2015.
All research outputs
#1,498,174
of 25,284,710 outputs
Outputs from Biology Direct
#40
of 534 outputs
Outputs of similar age
#12,484
of 289,888 outputs
Outputs of similar age from Biology Direct
#2
of 5 outputs
Altmetric has tracked 25,284,710 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 92% 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 289,888 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 95% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.