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The multidimensional mechanisms of long noncoding RNA function

Overview of attention for article published in Genome Biology (Online Edition), October 2017
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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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

blogs
2 blogs
twitter
22 tweeters

Citations

dimensions_citation
214 Dimensions

Readers on

mendeley
349 Mendeley
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Title
The multidimensional mechanisms of long noncoding RNA function
Published in
Genome Biology (Online Edition), October 2017
DOI 10.1186/s13059-017-1348-2
Pubmed ID
Authors

Francesco P. Marchese, Ivan Raimondi, Maite Huarte

Abstract

A major shift in our understanding of genome regulation has emerged recently. It is now apparent that the majority of cellular transcripts do not code for proteins, and many of them are long noncoding RNAs (lncRNAs). Increasingly, studies suggest that lncRNAs regulate gene expression through diverse mechanisms. We review emerging mechanistic views of lncRNAs in gene regulation in the cell nucleus. We discuss the functional interactions that lncRNAs establish with other molecules as well as the relationship between lncRNA transcription and function. While some of these mechanisms are specific to lncRNAs, others might be shared with other types of genes.

Twitter Demographics

The data shown below were collected from the profiles of 22 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 349 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 349 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 99 28%
Researcher 59 17%
Student > Master 52 15%
Student > Bachelor 36 10%
Student > Doctoral Student 18 5%
Other 40 11%
Unknown 45 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 162 46%
Agricultural and Biological Sciences 71 20%
Medicine and Dentistry 18 5%
Neuroscience 10 3%
Computer Science 10 3%
Other 22 6%
Unknown 56 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 23 July 2019.
All research outputs
#747,456
of 14,157,939 outputs
Outputs from Genome Biology (Online Edition)
#763
of 3,147 outputs
Outputs of similar age
#28,996
of 317,955 outputs
Outputs of similar age from Genome Biology (Online Edition)
#102
of 240 outputs
Altmetric has tracked 14,157,939 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,147 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.2. This one has done well, scoring higher than 75% 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 317,955 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 240 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 57% of its contemporaries.