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Rapid quantification of sequence repeats to resolve the size, structure and contents of bacterial genomes

Overview of attention for article published in BMC Genomics, August 2013
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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19 X users
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1 Facebook page
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1 Google+ user

Readers on

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95 Mendeley
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3 CiteULike
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Title
Rapid quantification of sequence repeats to resolve the size, structure and contents of bacterial genomes
Published in
BMC Genomics, August 2013
DOI 10.1186/1471-2164-14-537
Pubmed ID
Authors

David Williams, William L Trimble, Meghan Shilts, Folker Meyer, Howard Ochman

Abstract

The numerous classes of repeats often impede the assembly of genome sequences from the short reads provided by new sequencing technologies. We demonstrate a simple and rapid means to ascertain the repeat structure and total size of a bacterial or archaeal genome without the need for assembly by directly analyzing the abundances of distinct k-mers among reads.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 6%
Germany 2 2%
Netherlands 1 1%
France 1 1%
Portugal 1 1%
Austria 1 1%
Australia 1 1%
Sweden 1 1%
Norway 1 1%
Other 4 4%
Unknown 76 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 27%
Researcher 25 26%
Student > Master 9 9%
Professor > Associate Professor 8 8%
Other 5 5%
Other 15 16%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 57%
Computer Science 14 15%
Biochemistry, Genetics and Molecular Biology 7 7%
Immunology and Microbiology 6 6%
Engineering 2 2%
Other 5 5%
Unknown 7 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 05 May 2016.
All research outputs
#3,246,255
of 25,408,670 outputs
Outputs from BMC Genomics
#1,062
of 11,255 outputs
Outputs of similar age
#26,783
of 209,026 outputs
Outputs of similar age from BMC Genomics
#26
of 185 outputs
Altmetric has tracked 25,408,670 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,255 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% 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 209,026 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 87% of its contemporaries.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.