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CBESW: Sequence Alignment on the Playstation 3

Overview of attention for article published in BMC Bioinformatics, September 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter
facebook
1 Facebook page

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
38 Mendeley
citeulike
9 CiteULike
connotea
2 Connotea
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Title
CBESW: Sequence Alignment on the Playstation 3
Published in
BMC Bioinformatics, September 2008
DOI 10.1186/1471-2105-9-377
Pubmed ID
Authors

Adrianto Wirawan, Chee Keong Kwoh, Nim Tri Hieu, Bertil Schmidt

Abstract

The exponential growth of available biological data has caused bioinformatics to be rapidly moving towards a data-intensive, computational science. As a result, the computational power needed by bioinformatics applications is growing exponentially as well. The recent emergence of accelerator technologies has made it possible to achieve an excellent improvement in execution time for many bioinformatics applications, compared to current general-purpose platforms. In this paper, we demonstrate how the PlayStation 3, powered by the Cell Broadband Engine, can be used as a computational platform to accelerate the Smith-Waterman algorithm.

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

Geographical breakdown

Country Count As %
Japan 2 5%
Italy 1 3%
Netherlands 1 3%
France 1 3%
Malaysia 1 3%
Brazil 1 3%
United Kingdom 1 3%
Germany 1 3%
United States 1 3%
Other 1 3%
Unknown 27 71%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Master 9 24%
Student > Ph. D. Student 8 21%
Professor 3 8%
Other 2 5%
Other 3 8%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 47%
Computer Science 12 32%
Engineering 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Medicine and Dentistry 2 5%
Other 1 3%
Unknown 1 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 November 2016.
All research outputs
#1,693,307
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#717
of 4,576 outputs
Outputs of similar age
#13,851
of 103,118 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 38 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 84% 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 103,118 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.