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Chromosomer: a reference-based genome arrangement tool for producing draft chromosome sequences

Overview of attention for article published in Giga Science, August 2016
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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 (82nd percentile)

Mentioned by

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16 X users
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1 peer review site
facebook
1 Facebook page

Citations

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64 Dimensions

Readers on

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158 Mendeley
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Title
Chromosomer: a reference-based genome arrangement tool for producing draft chromosome sequences
Published in
Giga Science, August 2016
DOI 10.1186/s13742-016-0141-6
Pubmed ID
Authors

Gaik Tamazian, Pavel Dobrynin, Ksenia Krasheninnikova, Aleksey Komissarov, Klaus-Peter Koepfli, Stephen J. O’Brien

Abstract

As the number of sequenced genomes rapidly increases, chromosome assembly is becoming an even more crucial step of any genome study. Since de novo chromosome assemblies are confounded by repeat-mediated artifacts, reference-assisted assemblies that use comparative inference have become widely used, prompting the development of several reference-assisted assembly programs for prokaryotic and eukaryotic genomes. We developed Chromosomer - a reference-based genome arrangement tool, which rapidly builds chromosomes from genome contigs or scaffolds using their alignments to a reference genome of a closely related species. Chromosomer does not require mate-pair libraries and it offers a number of auxiliary tools that implement common operations accompanying the genome assembly process. Despite implementing a straightforward alignment-based approach, Chromosomer is a useful tool for genomic analysis of species without chromosome maps. Putative chromosome assemblies by Chromosomer can be used in comparative genomic analysis, genomic variation assessment, potential linkage group inference and other kinds of analysis involving contig or scaffold mapping to a high-quality assembly.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Hungary 1 <1%
Netherlands 1 <1%
Unknown 155 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 25%
Researcher 32 20%
Student > Bachelor 21 13%
Student > Master 15 9%
Student > Doctoral Student 7 4%
Other 22 14%
Unknown 21 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 39%
Biochemistry, Genetics and Molecular Biology 51 32%
Computer Science 7 4%
Veterinary Science and Veterinary Medicine 2 1%
Unspecified 2 1%
Other 10 6%
Unknown 24 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 January 2018.
All research outputs
#3,709,974
of 25,371,288 outputs
Outputs from Giga Science
#692
of 1,167 outputs
Outputs of similar age
#62,178
of 355,231 outputs
Outputs of similar age from Giga Science
#11
of 12 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 355,231 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 82% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.