↓ Skip to main content

High-density functional-RNA arrays as a versatile platform for studying RNA-based interactions

Overview of attention for article published in Nucleic Acids Research, May 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
3 X users
patent
1 patent
wikipedia
1 Wikipedia page

Readers on

mendeley
40 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
High-density functional-RNA arrays as a versatile platform for studying RNA-based interactions
Published in
Nucleic Acids Research, May 2018
DOI 10.1093/nar/gky410
Pubmed ID
Authors
Abstract

We are just beginning to unravel the myriad of interactions in which non-coding RNAs participate. The intricate RNA interactome is the foundation of many biological processes, including bacterial virulence and human disease, and represents unexploited resources for the development of potential therapeutic interventions. However, identifying specific associations of a given RNA from the multitude of possible binding partners within the cell requires robust high-throughput systems for their rapid screening. Here, we present the first demonstration of functional-RNA arrays as a novel platform technology designed for the study of such interactions using immobilized, active RNAs. We have generated high-density RNA arrays by an innovative method involving surface-capture of in vitro transcribed RNAs. This approach has significant advantages over existing technologies, particularly in its versatility in regards to binding partner character. Indeed, proof-of-principle application of RNA arrays to both RNA-small molecule and RNA-RNA pairings is demonstrated, highlighting their potential as a platform technology for mapping RNA-based networks and for pharmaceutical screening. Furthermore, the simplicity of the method supports greater user-accessibility over currently available technologies. We anticipate that functional-RNA arrays will find broad utility in the expanding field of RNA characterization.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 23%
Student > Bachelor 6 15%
Professor 4 10%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 3 8%
Other 4 10%
Unknown 10 25%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 38%
Agricultural and Biological Sciences 6 15%
Chemistry 5 13%
Arts and Humanities 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 5%
Unknown 10 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 June 2025.
All research outputs
#5,728,537
of 29,583,705 outputs
Outputs from Nucleic Acids Research
#8,130
of 29,429 outputs
Outputs of similar age
#87,678
of 352,217 outputs
Outputs of similar age from Nucleic Acids Research
#116
of 315 outputs
Altmetric has tracked 29,583,705 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 29,429 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 72% 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 352,217 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 315 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.