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Assembly of eukaryotic algal chromosomes in yeast

Overview of attention for article published in Journal of Biological Engineering, December 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 258)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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1 policy source
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6 X users
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2 patents
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1 Facebook page

Readers on

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107 Mendeley
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Title
Assembly of eukaryotic algal chromosomes in yeast
Published in
Journal of Biological Engineering, December 2013
DOI 10.1186/1754-1611-7-30
Pubmed ID
Authors

Bogumil J Karas, Bhuvan Molparia, Jelena Jablanovic, Wolfgang J Hermann, Ying-Chi Lin, Christopher L Dupont, Christian Tagwerker, Isaac T Yonemoto, Vladimir N Noskov, Ray-Yuan Chuang, Andrew E Allen, John I Glass, Clyde A Hutchison, Hamilton O Smith, J Craig Venter, Philip D Weyman

Abstract

Synthetic genomic approaches offer unique opportunities to use powerful yeast and Escherichia coli genetic systems to assemble and modify chromosome-sized molecules before returning the modified DNA to the target host. For example, the entire 1 Mb Mycoplasma mycoides chromosome can be stably maintained and manipulated in yeast before being transplanted back into recipient cells. We have previously demonstrated that cloning in yeast of large (> ~ 150 kb), high G + C (55%) prokaryotic DNA fragments was improved by addition of yeast replication origins every ~100 kb. Conversely, low G + C DNA is stable (up to at least 1.8 Mb) without adding supplemental yeast origins. It has not been previously tested whether addition of yeast replication origins similarly improves the yeast-based cloning of large (>150 kb) eukaryotic DNA with moderate G + C content. The model diatom Phaeodactylum tricornutum has an average G + C content of 48% and a 27.4 Mb genome sequence that has been assembled into chromosome-sized scaffolds making it an ideal test case for assembly and maintenance of eukaryotic chromosomes in yeast.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Canada 3 3%
France 1 <1%
Denmark 1 <1%
Unknown 99 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 21%
Student > Ph. D. Student 16 15%
Student > Bachelor 15 14%
Student > Master 10 9%
Student > Postgraduate 7 7%
Other 17 16%
Unknown 19 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 47%
Biochemistry, Genetics and Molecular Biology 26 24%
Computer Science 3 3%
Immunology and Microbiology 2 2%
Medicine and Dentistry 2 2%
Other 1 <1%
Unknown 23 21%
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 26 August 2020.
All research outputs
#2,790,455
of 22,736,112 outputs
Outputs from Journal of Biological Engineering
#40
of 258 outputs
Outputs of similar age
#33,972
of 306,776 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 7 outputs
Altmetric has tracked 22,736,112 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 258 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 84% 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 306,776 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 88% of its contemporaries.
We're also able to compare this research output to 7 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