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Circlator: automated circularization of genome assemblies using long sequencing reads

Overview of attention for article published in Genome Biology, December 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
3 blogs
twitter
54 X users
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
805 Dimensions

Readers on

mendeley
501 Mendeley
citeulike
3 CiteULike
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Title
Circlator: automated circularization of genome assemblies using long sequencing reads
Published in
Genome Biology, December 2015
DOI 10.1186/s13059-015-0849-0
Pubmed ID
Authors

Martin Hunt, Nishadi De Silva, Thomas D. Otto, Julian Parkhill, Jacqueline A. Keane, Simon R. Harris

Abstract

The assembly of DNA sequence data is undergoing a renaissance thanks to emerging technologies capable of producing reads tens of kilobases long. Assembling complete bacterial and small eukaryotic genomes is now possible, but the final step of circularizing sequences remains unsolved. Here we present Circlator, the first tool to automate assembly circularization and produce accurate linear representations of circular sequences. Using Pacific Biosciences and Oxford Nanopore data, Circlator correctly circularized 26 of 27 circularizable sequences, comprising 11 chromosomes and 12 plasmids from bacteria, the apicoplast and mitochondrion of Plasmodium falciparum and a human mitochondrion. Circlator is available at http://sanger-pathogens.github.io/circlator/ .

X Demographics

X Demographics

The data shown below were collected from the profiles of 54 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 501 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 <1%
Canada 2 <1%
Brazil 2 <1%
Netherlands 1 <1%
Norway 1 <1%
Portugal 1 <1%
Sweden 1 <1%
Czechia 1 <1%
Germany 1 <1%
Other 4 <1%
Unknown 482 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 102 20%
Researcher 97 19%
Student > Master 70 14%
Student > Bachelor 43 9%
Student > Doctoral Student 25 5%
Other 61 12%
Unknown 103 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 172 34%
Biochemistry, Genetics and Molecular Biology 131 26%
Immunology and Microbiology 20 4%
Medicine and Dentistry 17 3%
Computer Science 17 3%
Other 30 6%
Unknown 114 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 September 2022.
All research outputs
#854,687
of 25,711,518 outputs
Outputs from Genome Biology
#566
of 4,505 outputs
Outputs of similar age
#14,587
of 401,541 outputs
Outputs of similar age from Genome Biology
#14
of 68 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 87% 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 401,541 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 96% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.