↓ Skip to main content

Annotating RNA motifs in sequences and alignments

Overview of attention for article published in Nucleic Acids Research, December 2014
Altmetric Badge

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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
21 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
81 Mendeley
citeulike
1 CiteULike
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
Annotating RNA motifs in sequences and alignments
Published in
Nucleic Acids Research, December 2014
DOI 10.1093/nar/gku1327
Pubmed ID
Authors
Abstract

RNA performs a diverse array of important functions across all cellular life. These functions include important roles in translation, building translational machinery and maturing messenger RNA. More recent discoveries include the miRNAs and bacterial sRNAs that regulate gene expression, the thermosensors, riboswitches and other cis-regulatory elements that help prokaryotes sense their environment and eukaryotic piRNAs that suppress transposition. However, there can be a long period between the initial discovery of a RNA and determining its function. We present a bioinformatic approach to characterize RNA motifs, which are critical components of many RNA structure-function relationships. These motifs can, in some instances, provide researchers with functional hypotheses for uncharacterized RNAs. Moreover, we introduce a new profile-based database of RNA motifs-RMfam-and illustrate some applications for investigating the evolution and functional characterization of RNA. All the data and scripts associated with this work are available from: https://github.com/ppgardne/RMfam.

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 21 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 81 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 %
United States 4 5%
Denmark 2 2%
Sweden 1 1%
Poland 1 1%
New Zealand 1 1%
Mexico 1 1%
Czechia 1 1%
Switzerland 1 1%
Australia 1 1%
Other 0 0%
Unknown 68 84%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 32 40%
Researcher 16 20%
Student > Master 10 12%
Professor 7 9%
Student > Postgraduate 5 6%
Other 8 10%
Unknown 3 4%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 36 44%
Biochemistry, Genetics and Molecular Biology 19 23%
Computer Science 12 15%
Physics and Astronomy 2 2%
Chemistry 2 2%
Other 5 6%
Unknown 5 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 05 February 2015.
All research outputs
#3,355,160
of 27,831,641 outputs
Outputs from Nucleic Acids Research
#4,322
of 28,791 outputs
Outputs of similar age
#39,935
of 356,111 outputs
Outputs of similar age from Nucleic Acids Research
#57
of 346 outputs
Altmetric has tracked 27,831,641 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 28,791 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 done well, scoring higher than 84% 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 356,111 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 88% of its contemporaries.
We're also able to compare this research output to 346 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.