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Predicting Translation Initiation Rates for Designing Synthetic Biology

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, January 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)

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5 X users
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3 Google+ users

Citations

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113 Dimensions

Readers on

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272 Mendeley
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1 CiteULike
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Title
Predicting Translation Initiation Rates for Designing Synthetic Biology
Published in
Frontiers in Bioengineering and Biotechnology, January 2014
DOI 10.3389/fbioe.2014.00001
Pubmed ID
Authors

Benjamin Reeve, Thomas Hargest, Charlie Gilbert, Tom Ellis

Abstract

In synthetic biology, precise control over protein expression is required in order to construct functional biological systems. A core principle of the synthetic biology approach is a model-guided design and based on the biological understanding of the process, models of prokaryotic protein production have been described. Translation initiation rate is a rate-limiting step in protein production from mRNA and is dependent on the sequence of the 5'-untranslated region and the start of the coding sequence. Translation rate calculators are programs that estimate protein translation rates based on the sequence of these regions of an mRNA, and as protein expression is proportional to the rate of translation initiation, such calculators have been shown to give good approximations of protein expression levels. In this review, three currently available translation rate calculators developed for synthetic biology are considered, with limitations and possible future progress discussed.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 1%
United States 2 <1%
South Africa 1 <1%
Chile 1 <1%
Mexico 1 <1%
New Zealand 1 <1%
China 1 <1%
Argentina 1 <1%
Unknown 260 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 26%
Student > Master 46 17%
Researcher 42 15%
Student > Bachelor 32 12%
Other 10 4%
Other 26 10%
Unknown 45 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 104 38%
Agricultural and Biological Sciences 77 28%
Engineering 16 6%
Immunology and Microbiology 7 3%
Computer Science 5 2%
Other 18 7%
Unknown 45 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 September 2014.
All research outputs
#5,579,711
of 25,992,468 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#882
of 8,669 outputs
Outputs of similar age
#60,788
of 321,833 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#2
of 4 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,669 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 89% 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 321,833 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 81% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.