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The exon–intron gene structure upstream of the initiation codon predicts translation efficiency

Overview of attention for article published in Nucleic Acids Research, April 2018
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Article details
Title
The exon–intron gene structure upstream of the initiation codon predicts translation efficiency
Published in
Nucleic Acids Research, April 2018
DOI 10.1093/nar/gky282
Pubmed ID
Authors
Abstract

Introns in mRNA leaders are common in complex eukaryotes, but often overlooked. These introns are spliced out before translation, leaving exon-exon junctions in the mRNA leaders (leader EEJs). Our multi-omic approach shows that the number of leader EEJs inversely correlates with the main protein translation, as does the number of upstream open reading frames (uORFs). Across the five species studied, the lowest levels of translation were observed for mRNAs with both leader EEJs and uORFs (29%). This class of mRNAs also have ribosome footprints on uORFs, with strong triplet periodicity indicating uORF translation. Furthermore, the positions of both leader EEJ and uORF are conserved between human and mouse. Thus, the uORF, in combination with leader EEJ predicts lower expression for nearly one-third of eukaryotic proteins.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 23 26%
Researcher 14 16%
Student > Bachelor 7 8%
Student > Master 7 8%
Student > Postgraduate 4 4%
Other 11 12%
Unknown 23 26%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 42%
Agricultural and Biological Sciences 22 25%
Computer Science 4 4%
Physics and Astronomy 1 1%
Medicine and Dentistry 1 1%
Other 1 1%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 14 December 2021.
All research outputs
#3,366,122
of 33,136,271 outputs
Outputs from Nucleic Acids Research
#4,138
of 32,836 outputs
Outputs of similar age
#53,155
of 362,207 outputs
Outputs of similar age from Nucleic Acids Research
#54
of 265 outputs
Altmetric has tracked 33,136,271 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,836 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 87% 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 362,207 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 85% of its contemporaries.
We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.