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Little things on which happiness depends: microRNAs as novel therapeutic targets for the treatment of anxiety and depression

Overview of attention for article published in Molecular Psychiatry, December 2011
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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 (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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3 X users
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7 patents
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1 Google+ user

Citations

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121 Dimensions

Readers on

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186 Mendeley
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Title
Little things on which happiness depends: microRNAs as novel therapeutic targets for the treatment of anxiety and depression
Published in
Molecular Psychiatry, December 2011
DOI 10.1038/mp.2011.162
Pubmed ID
Authors

R M O'Connor, T G Dinan, J F Cryan

Abstract

Anxiety and depression are devastating mental illnesses that are a significant public health concern. Selective serotonin-reuptake inhibitors are the first-line treatment strategy for these disorders, which despite being a significant advantage over older treatments, are hampered by a limited efficacy in a significant subset of patients, delayed onset of action and side effects that affect compliance. Thus, there is much impetus to develop novel therapeutic strategies. However, this goal can only be rationally realised with a better understanding of the molecular pathophysiology of these disorders. MicroRNAs (miRNAs) are a newly discovered class of gene-expression regulators that may represent a novel class of therapeutic targets to treat a variety of disorders including psychiatric diseases. miRNAs are heavily involved in regulating many physiological processes including those fundamental to the functioning of the central nervous system. Evidence collected to date has already demonstrated that miRNA-expression levels are altered in patients suffering from depression and anxiety and in pre-clinical models of psychological stress. Furthermore, increasing evidence suggests that psychoactive agents including antidepressants and mood stabilisers utilise miRNAs as downstream effectors. Altering miRNA levels has been shown to alter behaviour in a therapeutically desirable manner in pre-clinical models. This review aims to outline the evidence collected to date demonstrating miRNAs role in anxiety and depression, the potential advantages of targeting these small RNA molecules as well as some of the hurdles that will have to be overcome to fully exploit their therapeutic potential.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Italy 3 2%
Canada 3 2%
Norway 1 <1%
Israel 1 <1%
Ireland 1 <1%
Argentina 1 <1%
Germany 1 <1%
Unknown 171 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 24%
Researcher 28 15%
Student > Master 20 11%
Professor > Associate Professor 18 10%
Student > Bachelor 14 8%
Other 43 23%
Unknown 19 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 32%
Medicine and Dentistry 31 17%
Neuroscience 24 13%
Psychology 21 11%
Biochemistry, Genetics and Molecular Biology 6 3%
Other 16 9%
Unknown 28 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 20 June 2023.
All research outputs
#3,612,500
of 22,659,164 outputs
Outputs from Molecular Psychiatry
#2,039
of 4,075 outputs
Outputs of similar age
#30,457
of 243,104 outputs
Outputs of similar age from Molecular Psychiatry
#16
of 42 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,075 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.2. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 243,104 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 87% of its contemporaries.
We're also able to compare this research output to 42 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 61% of its contemporaries.