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RNA Editing—Systemic Relevance and Clue to Disease Mechanisms?

Overview of attention for article published in Frontiers in Molecular Neuroscience, November 2016
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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 (69th percentile)

Mentioned by

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5 X users
wikipedia
2 Wikipedia pages

Citations

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25 Dimensions

Readers on

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64 Mendeley
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Title
RNA Editing—Systemic Relevance and Clue to Disease Mechanisms?
Published in
Frontiers in Molecular Neuroscience, November 2016
DOI 10.3389/fnmol.2016.00124
Pubmed ID
Authors

Jochen C. Meier, Svenja Kankowski, Heinz Krestel, Florian Hetsch

Abstract

Recent advances in sequencing technologies led to the identification of a plethora of different genes and several hundreds of amino acid recoding edited positions. Changes in editing rates of some of these positions were associated with diseases such as atherosclerosis, myopathy, epilepsy, major depression disorder, schizophrenia and other mental disorders as well as cancer and brain tumors. This review article summarizes our current knowledge on that front and presents glycine receptor C-to-U RNA editing as a first example of disease-associated increased RNA editing that includes assessment of disease mechanisms of the corresponding gene product in an animal model.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Student > Master 11 17%
Student > Bachelor 9 14%
Researcher 5 8%
Other 4 6%
Other 6 9%
Unknown 14 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 28%
Agricultural and Biological Sciences 12 19%
Neuroscience 7 11%
Immunology and Microbiology 3 5%
Medicine and Dentistry 3 5%
Other 5 8%
Unknown 16 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 January 2023.
All research outputs
#6,673,055
of 26,304,916 outputs
Outputs from Frontiers in Molecular Neuroscience
#914
of 3,408 outputs
Outputs of similar age
#106,451
of 420,448 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#22
of 71 outputs
Altmetric has tracked 26,304,916 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,408 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 73% 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 420,448 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 71 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 69% of its contemporaries.