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The ribosome as a missing link in the evolution of life

Overview of attention for article published in Journal of Theoretical Biology, December 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 4,010)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
11 news outlets
blogs
7 blogs
twitter
44 X users
facebook
5 Facebook pages
wikipedia
11 Wikipedia pages
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
118 Dimensions

Readers on

mendeley
224 Mendeley
citeulike
2 CiteULike
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Title
The ribosome as a missing link in the evolution of life
Published in
Journal of Theoretical Biology, December 2014
DOI 10.1016/j.jtbi.2014.11.025
Pubmed ID
Authors

Meredith Root-Bernstein, Robert Root-Bernstein

Abstract

Many steps in the evolution of cellular life are still mysterious. We suggest that the ribosome may represent one important missing link between compositional (or metabolism-first), RNA-world (or genes-first) and cellular (last universal common ancestor) approaches to the evolution of cells. We present evidence that the entire set of transfer RNAs for all twenty amino acids are encoded in both the 16S and 23S rRNAs of Escherichia coli K12; that nucleotide sequences that could encode key fragments of ribosomal proteins, polymerases, ligases, synthetases, and phosphatases are to be found in each of the six possible reading frames of the 16S and 23S rRNAs; and that every sequence of bases in rRNA has information encoding more than one of these functions in addition to acting as a structural component of the ribosome. Ribosomal RNA, in short, is not just a structural scaffold for proteins, but the vestigial remnant of a primordial genome that may have encoded a self-organizing, self-replicating, auto-catalytic intermediary between macromolecules and cellular life.

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 5%
Mexico 2 <1%
United Kingdom 2 <1%
Sweden 1 <1%
India 1 <1%
Germany 1 <1%
Portugal 1 <1%
Czechia 1 <1%
Canada 1 <1%
Other 0 0%
Unknown 203 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 27%
Researcher 35 16%
Student > Master 34 15%
Student > Bachelor 27 12%
Professor 14 6%
Other 30 13%
Unknown 24 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 35%
Biochemistry, Genetics and Molecular Biology 52 23%
Chemistry 13 6%
Computer Science 9 4%
Medicine and Dentistry 9 4%
Other 31 14%
Unknown 31 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 160. 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 08 November 2023.
All research outputs
#254,926
of 25,374,917 outputs
Outputs from Journal of Theoretical Biology
#20
of 4,010 outputs
Outputs of similar age
#2,815
of 368,305 outputs
Outputs of similar age from Journal of Theoretical Biology
#1
of 45 outputs
Altmetric has tracked 25,374,917 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 4,010 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. 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 368,305 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 99% of its contemporaries.
We're also able to compare this research output to 45 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 97% of its contemporaries.