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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

patent
3 patents
wikipedia
8 Wikipedia pages
f1000
1 research highlight platform

Readers on

mendeley
198 Mendeley
citeulike
4 CiteULike
connotea
2 Connotea
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Article details
Title
RNA backbone: Consensus all-angle conformers and modular string nomenclature (an RNA Ontology Consortium contribution)
Published in
RNA, January 2008
DOI 10.1261/rna.657708
Pubmed ID
Authors
Abstract

A consensus classification and nomenclature are defined for RNA backbone structure using all of the backbone torsion angles. By a consensus of several independent analysis methods, 46 discrete conformers are identified as suitably clustered in a quality-filtered, multidimensional dihedral angle distribution. Most of these conformers represent identifiable features or roles within RNA structures. The conformers are given two-character names that reflect the seven-angle delta epsilon zeta alpha beta gamma delta combinations empirically found favorable for the sugar-to-sugar "suite" unit within which the angle correlations are strongest (e.g., 1a for A-form, 5z for the start of S-motifs). Since the half-nucleotides are specified by a number for delta epsilon zeta and a lowercase letter for alpha beta gamma delta, this modular system can also be parsed to describe traditional nucleotide units (e.g., a1) or the dinucleotides (e.g., a1a1) that are especially useful at the level of crystallographic map fitting. This nomenclature can also be written as a string with two-character suite names between the uppercase letters of the base sequence (N1aG1gN1aR1aA1cN1a for a GNRA tetraloop), facilitating bioinformatic comparisons. Cluster means, standard deviations, coordinates, and examples are made available, as well as the Suitename software that assigns suite conformer names and conformer match quality (suiteness) from atomic coordinates. The RNA Ontology Consortium will combine this new backbone system with others that define base pairs, base-stacking, and hydrogen-bond relationships to provide a full description of RNA structural motifs.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 198 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 %
United States 7 4%
United Kingdom 3 2%
Poland 2 1%
Czechia 2 1%
Canada 2 1%
Ukraine 1 <1%
Japan 1 <1%
India 1 <1%
France 1 <1%
Other 2 1%
Unknown 176 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 58 29%
Researcher 47 24%
Student > Master 23 12%
Student > Bachelor 15 8%
Professor > Associate Professor 8 4%
Other 17 9%
Unknown 30 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 57 29%
Chemistry 41 21%
Biochemistry, Genetics and Molecular Biology 30 15%
Physics and Astronomy 14 7%
Computer Science 7 4%
Other 17 9%
Unknown 32 16%
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 30 January 2024.
All research outputs
#4,191,741
of 22,882,389 outputs
Outputs from RNA
#793
of 3,020 outputs
Outputs of similar age
#19,535
of 156,638 outputs
Outputs of similar age from RNA
#6
of 27 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,020 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 gotten more attention than average, scoring higher than 71% 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 156,638 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 86% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.