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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 (84th percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
39 Mendeley
citeulike
9 CiteULike
connotea
2 Connotea
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 profiles of 2 tweeters 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 5%
Germany 1 3%
Netherlands 1 3%
France 1 3%
Italy 1 3%
Malaysia 1 3%
United Kingdom 1 3%
Brazil 1 3%
United States 1 3%
Other 1 3%
Unknown 28 72%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 28%
Student > Master 10 26%
Student > Ph. D. Student 8 21%
Professor 3 8%
Student > Bachelor 2 5%
Other 4 10%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 44%
Computer Science 14 36%
Medicine and Dentistry 3 8%
Engineering 2 5%
Arts and Humanities 1 3%
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 12 October 2022.
All research outputs
#3,504,268
of 22,458,746 outputs
Outputs from BMC Bioinformatics
#1,290
of 7,184 outputs
Outputs of similar age
#11,612
of 73,558 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 3 outputs
Altmetric has tracked 22,458,746 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,184 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 done well, scoring higher than 81% 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 73,558 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 84% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them