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Supercomputing for the parallelization of whole genome analysis

Overview of attention for article published in Bioinformatics, February 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#23 of 12,851)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
10 news outlets
blogs
4 blogs
twitter
77 X users
patent
11 patents
googleplus
2 Google+ users

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
131 Mendeley
citeulike
5 CiteULike
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Title
Supercomputing for the parallelization of whole genome analysis
Published in
Bioinformatics, February 2014
DOI 10.1093/bioinformatics/btu071
Pubmed ID
Authors

Megan J Puckelwartz, Lorenzo L Pesce, Viswateja Nelakuditi, Lisa Dellefave-Castillo, Jessica R Golbus, Sharlene M Day, Thomas P Cappola, Gerald W Dorn, Ian T Foster, Elizabeth M McNally

Abstract

The declining cost of generating DNA sequence is promoting an increase in whole genome sequencing, especially as applied to the human genome. Whole genome analysis requires the alignment and comparison of raw sequence data, and results in a computational bottleneck because of limited ability to analyze multiple genomes simultaneously.

X Demographics

X Demographics

The data shown below were collected from the profiles of 77 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 5%
United Kingdom 2 2%
Brazil 2 2%
Norway 1 <1%
France 1 <1%
Colombia 1 <1%
Germany 1 <1%
Sweden 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 113 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 30%
Student > Ph. D. Student 20 15%
Professor > Associate Professor 14 11%
Student > Bachelor 12 9%
Student > Master 12 9%
Other 24 18%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 42%
Computer Science 23 18%
Biochemistry, Genetics and Molecular Biology 15 11%
Engineering 10 8%
Medicine and Dentistry 4 3%
Other 11 8%
Unknown 13 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 147. 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 20 February 2024.
All research outputs
#281,666
of 25,530,891 outputs
Outputs from Bioinformatics
#23
of 12,851 outputs
Outputs of similar age
#2,660
of 330,073 outputs
Outputs of similar age from Bioinformatics
#2
of 191 outputs
Altmetric has tracked 25,530,891 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,851 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 99% 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 330,073 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 99% of its contemporaries.
We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.