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Amino Acids as RNA Ligands: A Direct-RNA-Template Theory for the Code's Origin

Overview of attention for article published in Journal of Molecular Evolution, July 1998
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Title
Amino Acids as RNA Ligands: A Direct-RNA-Template Theory for the Code's Origin
Published in
Journal of Molecular Evolution, July 1998
DOI 10.1007/pl00006357
Pubmed ID
Authors

Michael Yarus

Abstract

Numerous RNA binding sites for specific amino acids are now known, coming predominantly from selection-amplification experiments. These sites are chemically discriminating despite being predominantly small, simple RNA structures: internal and bulge loops. Recent studies of sites for hydrophobic side chains suggest that there are other generalizable structural features which recur in hydrophobic RNA sites. Further, sites for hydrophobic side chains can contain codons for the bound amino acid, as has also long been known for the polar amino acid arginine. Such findings are comprehensively reviewed, and the implications for the origin of coded peptide synthesis are considered. An origins hypothesis which accommodates all the data, DRT (direct RNA templating), is formulated.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 3 6%
Japan 2 4%
Italy 1 2%
China 1 2%
Netherlands 1 2%
Unknown 46 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Researcher 11 20%
Student > Bachelor 7 13%
Student > Master 5 9%
Student > Doctoral Student 3 6%
Other 8 15%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 37%
Biochemistry, Genetics and Molecular Biology 12 22%
Chemistry 5 9%
Physics and Astronomy 4 7%
Engineering 2 4%
Other 3 6%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 June 2021.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Journal of Molecular Evolution
#492
of 1,477 outputs
Outputs of similar age
#10,344
of 32,510 outputs
Outputs of similar age from Journal of Molecular Evolution
#3
of 8 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,477 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 29th percentile – i.e., 29% 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 32,510 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.