↓ Skip to main content

Measurement of average decoding rates of the 61 sense codons in vivo

Overview of attention for article published in eLife, October 2014
Altmetric Badge

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 (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
weibo
1 weibo user
f1000
1 research highlight platform

Citations

dimensions_citation
189 Dimensions

Readers on

mendeley
256 Mendeley
citeulike
5 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Measurement of average decoding rates of the 61 sense codons in vivo
Published in
eLife, October 2014
DOI 10.7554/elife.03735
Pubmed ID
Authors

Justin Gardin, Rukhsana Yeasmin, Alisa Yurovsky, Ying Cai, Steve Skiena, Bruce Futcher

Abstract

Most amino acids can be encoded by several synonymous codons, which are used at unequal frequencies. The significance of unequal codon usage remains unclear. One hypothesis is that frequent codons are translated relatively rapidly. However, there is little direct, in vivo evidence regarding codon-specific translation rates. Here, we generate high-coverage data using ribosome profiling in yeast, analyze using a novel algorithm, and deduce events at the A and P-sites of the ribosome. Different codons are decoded at different rates in the A-site. In general frequent codons are decoded more quickly than rare codons, and AT-rich codons are decoded more quickly than GC-rich codons. At the P-site, proline is slow in forming peptide bonds. We also apply our algorithm to short footprints from a different conformation of the ribosome, and find strong, amino-acid specific (not codon-specific) effects that may reflect interactions with the exit tunnel of the ribosome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
United Kingdom 3 1%
Germany 1 <1%
Sweden 1 <1%
Israel 1 <1%
Czechia 1 <1%
Netherlands 1 <1%
New Zealand 1 <1%
France 1 <1%
Other 2 <1%
Unknown 238 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 28%
Researcher 52 20%
Student > Master 25 10%
Student > Doctoral Student 14 5%
Student > Postgraduate 12 5%
Other 43 17%
Unknown 39 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 37%
Biochemistry, Genetics and Molecular Biology 90 35%
Chemistry 10 4%
Computer Science 5 2%
Engineering 4 2%
Other 12 5%
Unknown 40 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 21 July 2015.
All research outputs
#2,762,042
of 23,577,654 outputs
Outputs from eLife
#7,209
of 14,362 outputs
Outputs of similar age
#32,786
of 262,024 outputs
Outputs of similar age from eLife
#72
of 179 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,362 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.8. This one is in the 49th percentile – i.e., 49% 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 262,024 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 87% of its contemporaries.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.