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Perfect Hamming code with a hash table for faster genome mapping

Overview of attention for article published in BMC Genomics, November 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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2 X users
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1 patent

Citations

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5 Dimensions

Readers on

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31 Mendeley
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Title
Perfect Hamming code with a hash table for faster genome mapping
Published in
BMC Genomics, November 2011
DOI 10.1186/1471-2164-12-s3-s8
Pubmed ID
Authors

Yoichi Takenaka, Shigeto Seno, Hideo Matsuda

Abstract

With the advent of next-generation sequencers, the growing demands to map short DNA sequences to a genome have promoted the development of fast algorithms and tools. The tools commonly used today are based on either a hash table or the suffix array/Burrow-Wheeler transform. These algorithms are the best suited to finding the genome position of exactly matching short reads. However, they have limited capacity to handle the mismatches. To find n-mismatches, they requires O(2n) times the computation time of exact matches. Therefore, acceleration techniques are required.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 35%
Other 4 13%
Student > Ph. D. Student 3 10%
Student > Master 3 10%
Student > Bachelor 2 6%
Other 5 16%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 39%
Computer Science 5 16%
Immunology and Microbiology 3 10%
Business, Management and Accounting 1 3%
Mathematics 1 3%
Other 5 16%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 May 2014.
All research outputs
#7,047,742
of 25,374,647 outputs
Outputs from BMC Genomics
#2,828
of 11,244 outputs
Outputs of similar age
#56,791
of 246,012 outputs
Outputs of similar age from BMC Genomics
#21
of 134 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 74% 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 246,012 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 76% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.