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SIS: a program to generate draft genome sequence scaffolds for prokaryotes

Overview of attention for article published in BMC Bioinformatics, May 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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
15 tweeters
patent
1 patent

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
2 CiteULike
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Title
SIS: a program to generate draft genome sequence scaffolds for prokaryotes
Published in
BMC Bioinformatics, May 2012
DOI 10.1186/1471-2105-13-96
Pubmed ID
Authors

Zanoni Dias, Ulisses Dias, João C Setubal

Abstract

Decreasing costs of DNA sequencing have made prokaryotic draft genome sequences increasingly common. A contig scaffold is an ordering of contigs in the correct orientation. A scaffold can help genome comparisons and guide gap closure efforts. One popular technique for obtaining contig scaffolds is to map contigs onto a reference genome. However, rearrangements that may exist between the query and reference genomes may result in incorrect scaffolds, if these rearrangements are not taken into account. Large-scale inversions are common rearrangement events in prokaryotic genomes. Even in draft genomes it is possible to detect the presence of inversions given sufficient sequencing coverage and a sufficiently close reference genome.

Twitter Demographics

The data shown below were collected from the profiles of 15 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 7%
Sweden 1 2%
Brazil 1 2%
United Kingdom 1 2%
Mexico 1 2%
Germany 1 2%
Unknown 45 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 31%
Student > Ph. D. Student 10 19%
Other 6 11%
Student > Bachelor 5 9%
Student > Master 5 9%
Other 9 17%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 59%
Computer Science 7 13%
Biochemistry, Genetics and Molecular Biology 5 9%
Immunology and Microbiology 3 6%
Environmental Science 2 4%
Other 3 6%
Unknown 2 4%

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 30 November 2017.
All research outputs
#1,628,814
of 14,781,459 outputs
Outputs from BMC Bioinformatics
#619
of 5,488 outputs
Outputs of similar age
#12,962
of 124,122 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 5 outputs
Altmetric has tracked 14,781,459 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,488 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 88% 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 124,122 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 89% of its contemporaries.
We're also able to compare this research output to 5 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