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Redundancy of the genetic code enables translational pausing

Overview of attention for article published in Frontiers in Genetics, May 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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8 news outlets
blogs
2 blogs
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11 X users
facebook
3 Facebook pages
googleplus
1 Google+ user
q&a
2 Q&A threads
video
2 YouTube creators

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
60 Mendeley
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1 CiteULike
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Title
Redundancy of the genetic code enables translational pausing
Published in
Frontiers in Genetics, May 2014
DOI 10.3389/fgene.2014.00140
Pubmed ID
Authors

David J. D'Onofrio, David L. Abel

Abstract

The codon redundancy ("degeneracy") found in protein-coding regions of mRNA also prescribes Translational Pausing (TP). When coupled with the appropriate interpreters, multiple meanings and functions are programmed into the same sequence of configurable switch-settings. This additional layer of Ontological Prescriptive Information (PIo) purposely slows or speeds up the translation-decoding process within the ribosome. Variable translation rates help prescribe functional folding of the nascent protein. Redundancy of the codon to amino acid mapping, therefore, is anything but superfluous or degenerate. Redundancy programming allows for simultaneous dual prescriptions of TP and amino acid assignments without cross-talk. This allows both functions to be coincident and realizable. We will demonstrate that the TP schema is a bona fide rule-based code, conforming to logical code-like properties. Second, we will demonstrate that this TP code is programmed into the supposedly degenerate redundancy of the codon table. We will show that algorithmic processes play a dominant role in the realization of this multi-dimensional code.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
United Kingdom 1 2%
Canada 1 2%
Sri Lanka 1 2%
Argentina 1 2%
United States 1 2%
Unknown 54 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 35%
Researcher 13 22%
Student > Bachelor 7 12%
Student > Master 7 12%
Professor 2 3%
Other 8 13%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 38%
Biochemistry, Genetics and Molecular Biology 20 33%
Chemistry 5 8%
Computer Science 2 3%
Medicine and Dentistry 2 3%
Other 5 8%
Unknown 3 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 89. 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 07 August 2023.
All research outputs
#471,680
of 25,303,733 outputs
Outputs from Frontiers in Genetics
#66
of 13,615 outputs
Outputs of similar age
#4,061
of 233,050 outputs
Outputs of similar age from Frontiers in Genetics
#3
of 115 outputs
Altmetric has tracked 25,303,733 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,615 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 99% 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 233,050 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 98% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.