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Molecular evolution of mRNA: A method for estimating evolutionary rates of synonymous and amino acid substitutions from homologous nucleotide sequences and its application

Overview of attention for article published in Journal of Molecular Evolution, March 1980
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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 (88th percentile)

Mentioned by

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8 X users
wikipedia
2 Wikipedia pages

Citations

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333 Dimensions

Readers on

mendeley
169 Mendeley
citeulike
3 CiteULike
Title
Molecular evolution of mRNA: A method for estimating evolutionary rates of synonymous and amino acid substitutions from homologous nucleotide sequences and its application
Published in
Journal of Molecular Evolution, March 1980
DOI 10.1007/bf01732067
Pubmed ID
Authors

Takashi Miyata, Teruo Yasunaga

Abstract

A method for estimating the evolutionary rates of synonymous and amino acid substitutions from homologous nucleotide sequences is presented. This method is applied to genes of phi X174 and G4 genomes, histone genes and beta-globin genes, for which homologous nucleotide sequences are available for comparison to be made. It is shown that the rates of synonymous substitutions are quite uniform among the non-overlapping genes of phi X174 and G4 and among histone genes H4, H2B, H3 and H2A. A comparison between phi X174 and G4 reveals that, in the overlapping segments of the A-gene, the rate of synonymous substitution is reduced more significantly than the rate of amino acid substitution relative to the corresponding rate in the non-overlapping segment. It is also suggested that, in the coding region surrounding the splicing points of intervening sequences of beta-globin genes, there exist rigid secondary structures. It is in only these regions that the beta-globin genes show the slowing down of evolutionary rates of both synonymous and amino acid substitutions in the primate line.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Japan 2 1%
France 1 <1%
Germany 1 <1%
Chile 1 <1%
United Kingdom 1 <1%
Unknown 160 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 23%
Researcher 25 15%
Student > Master 25 15%
Student > Bachelor 16 9%
Professor 12 7%
Other 30 18%
Unknown 22 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 75 44%
Biochemistry, Genetics and Molecular Biology 41 24%
Computer Science 5 3%
Environmental Science 5 3%
Mathematics 4 2%
Other 14 8%
Unknown 25 15%
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 October 2020.
All research outputs
#5,081,473
of 24,835,287 outputs
Outputs from Journal of Molecular Evolution
#243
of 1,488 outputs
Outputs of similar age
#674
of 6,155 outputs
Outputs of similar age from Journal of Molecular Evolution
#4
of 4 outputs
Altmetric has tracked 24,835,287 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,488 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 83% 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 6,155 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 4 others from the same source and published within six weeks on either side of this one.