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Mapping single molecule sequencing reads using basic local alignment with successive refinement (BLASR): application and theory

Overview of attention for article published in BMC Bioinformatics, September 2012
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
15 X users
patent
1 patent

Citations

dimensions_citation
1056 Dimensions

Readers on

mendeley
766 Mendeley
citeulike
8 CiteULike
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Title
Mapping single molecule sequencing reads using basic local alignment with successive refinement (BLASR): application and theory
Published in
BMC Bioinformatics, September 2012
DOI 10.1186/1471-2105-13-238
Pubmed ID
Authors

Mark J Chaisson, Glenn Tesler

Abstract

Recent methods have been developed to perform high-throughput sequencing of DNA by Single Molecule Sequencing (SMS). While Next-Generation sequencing methods may produce reads up to several hundred bases long, SMS sequencing produces reads up to tens of kilobases long. Existing alignment methods are either too inefficient for high-throughput datasets, or not sensitive enough to align SMS reads, which have a higher error rate than Next-Generation sequencing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 766 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 2%
Germany 4 <1%
United Kingdom 4 <1%
Japan 3 <1%
China 2 <1%
Belgium 2 <1%
France 2 <1%
Sweden 2 <1%
Ireland 1 <1%
Other 13 2%
Unknown 721 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 208 27%
Researcher 141 18%
Student > Master 100 13%
Student > Bachelor 63 8%
Professor > Associate Professor 39 5%
Other 114 15%
Unknown 101 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 295 39%
Biochemistry, Genetics and Molecular Biology 174 23%
Computer Science 88 11%
Immunology and Microbiology 19 2%
Environmental Science 17 2%
Other 57 7%
Unknown 116 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 31 August 2023.
All research outputs
#1,266,223
of 24,535,155 outputs
Outputs from BMC Bioinformatics
#143
of 7,551 outputs
Outputs of similar age
#7,325
of 176,323 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 94 outputs
Altmetric has tracked 24,535,155 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 7,551 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 98% 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 176,323 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 94 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 98% of its contemporaries.