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Contribution of MicroRNAs to autoimmune diseases

Overview of attention for article published in Cellular and Molecular Life Sciences, March 2016
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2 X users

Citations

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Readers on

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129 Mendeley
Title
Contribution of MicroRNAs to autoimmune diseases
Published in
Cellular and Molecular Life Sciences, March 2016
DOI 10.1007/s00018-016-2167-4
Pubmed ID
Authors

Lucien P. Garo, Gopal Murugaiyan

Abstract

MicroRNAs are a class of evolutionarily conserved, short non-coding RNAs that post-transcriptionally modulate the expression of multiple target genes. They are implicated in almost every biological process, including pathways involved in immune homeostasis, such as immune cell development, central and peripheral tolerance, and T helper cell differentiation. Alterations in miRNA expression and function can lead to major dysfunction of the immune system and mediate susceptibility to autoimmune disease. Here, we discuss the role of miRNAs in the maintenance of immune tolerance to self-antigens and the gain or loss of miRNA functions on tissue inflammation and autoimmunity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 128 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 18%
Student > Ph. D. Student 20 16%
Student > Master 17 13%
Student > Postgraduate 10 8%
Student > Doctoral Student 8 6%
Other 26 20%
Unknown 25 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 20%
Medicine and Dentistry 19 15%
Immunology and Microbiology 16 12%
Neuroscience 12 9%
Agricultural and Biological Sciences 9 7%
Other 19 15%
Unknown 28 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 March 2016.
All research outputs
#14,050,687
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#2,714
of 4,151 outputs
Outputs of similar age
#146,690
of 300,666 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#38
of 73 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 33rd percentile – i.e., 33% 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 300,666 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.