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Epitranscriptomic influences on development and disease

Overview of attention for article published in Genome Biology, 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 (86th percentile)

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1 blog
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112 Mendeley
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Title
Epitranscriptomic influences on development and disease
Published in
Genome Biology, October 2017
DOI 10.1186/s13059-017-1336-6
Pubmed ID
Authors

Phillip J. Hsu, Hailing Shi, Chuan He

Abstract

RNA contains over 150 types of chemical modifications. Although many of these chemical modifications were discovered several decades ago, their functions were not immediately apparent. Discoveries of RNA demethylases, along with advances in mass spectrometry and high-throughput sequencing techniques, have caused research into RNA modifications to progress at an accelerated rate. Post-transcriptional RNA modifications make up an epitranscriptome that extensively regulates gene expression and biological processes. Here, we present an overview of recent advances in the field that are shaping our understanding of chemical modifications, their impact on development and disease, and the dynamic mechanisms through which they regulate gene expression.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 20%
Researcher 21 19%
Student > Master 15 13%
Student > Bachelor 10 9%
Student > Doctoral Student 5 4%
Other 14 13%
Unknown 25 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 43 38%
Agricultural and Biological Sciences 15 13%
Medicine and Dentistry 8 7%
Chemistry 5 4%
Neuroscience 4 4%
Other 11 10%
Unknown 26 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 November 2017.
All research outputs
#2,444,371
of 25,382,440 outputs
Outputs from Genome Biology
#1,988
of 4,468 outputs
Outputs of similar age
#46,563
of 338,323 outputs
Outputs of similar age from Genome Biology
#45
of 61 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 55% 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 338,323 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 61 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.