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RNA Processing

Overview of attention for book
Attention for Chapter 2: RNA Processing
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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11 X users

Citations

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Chapter title
RNA Processing
Chapter number 2
Book title
RNA Processing
Published in
Advances in experimental medicine and biology, January 2016
DOI 10.1007/978-3-319-29073-7_2
Pubmed ID
Book ISBNs
978-3-31-929071-3, 978-3-31-929073-7
Authors

Silverman, Ian M, Berkowitz, Nathan D, Gosai, Sager J, Gregory, Brian D, Ian M. Silverman, Nathan D. Berkowitz, Sager J. Gosai, Brian D. Gregory

Abstract

RNA molecules of all types fold into complex secondary and tertiary structures that are important for their function and regulation. Structural and catalytic RNAs such as ribosomal RNA (rRNA) and transfer RNA (tRNA) are central players in protein synthesis, and only function through their proper folding into intricate three-dimensional structures. Studies of messenger RNA (mRNA) regulation have also revealed that structural elements embedded within these RNA species are important for the proper regulation of their total level in the transcriptome. More recently, the discovery of microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) has shed light on the importance of RNA structure to genome, transcriptome, and proteome regulation. Due to the relatively small number, high conservation, and importance of structural and catalytic RNAs to all life, much early work in RNA structure analysis mapped out a detailed view of these molecules. Computational and physical methods were used in concert with enzymatic and chemical structure probing to create high-resolution models of these fundamental biological molecules. However, the recent expansion in our knowledge of the importance of RNA structure to coding and regulatory RNAs has left the field in need of faster and scalable methods for high-throughput structural analysis. To address this, nuclease and chemical RNA structure probing methodologies have been adapted for genome-wide analysis. These methods have been deployed to globally characterize thousands of RNA structures in a single experiment. Here, we review these experimental methodologies for high-throughput RNA structure determination and discuss the insights gained from each approach.

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X Demographics

The data shown below were collected from the profiles of 11 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
China 1 5%
Norway 1 5%
Unknown 17 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 15%
Student > Bachelor 2 10%
Professor 2 10%
Professor > Associate Professor 2 10%
Student > Doctoral Student 1 5%
Other 4 20%
Unknown 6 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 30%
Biochemistry, Genetics and Molecular Biology 6 30%
Chemical Engineering 1 5%
Unspecified 1 5%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 July 2017.
All research outputs
#6,391,095
of 23,577,654 outputs
Outputs from Advances in experimental medicine and biology
#993
of 5,040 outputs
Outputs of similar age
#99,917
of 396,838 outputs
Outputs of similar age from Advances in experimental medicine and biology
#93
of 447 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 5,040 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 79% 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 396,838 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 447 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.