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Proteomics for understanding miRNA biology

Overview of attention for article published in PROTEOMICS, December 2012
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94 Mendeley
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Article details
Title
Proteomics for understanding miRNA biology
Published in
PROTEOMICS, December 2012
DOI 10.1002/pmic.201200339
Pubmed ID
Authors
Abstract

MicroRNAs (miRNAs) are small noncoding RNAs that play important roles in posttranscriptional regulation of gene expression. Mature miRNAs associate with the RNA interference silencing complex to repress mRNA translation and/or degrade mRNA transcripts. Mass spectrometry-based proteomics has enabled identification of several core components of the canonical miRNA processing pathway and their posttranslational modifications which are pivotal in miRNA regulatory mechanisms. The use of quantitative proteomic strategies has also emerged as a key technique for experimental identification of miRNA targets by allowing direct determination of proteins whose levels are altered because of translational suppression. This review focuses on the role of proteomics and labeling strategies to understand miRNA biology.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
India 1 1%
United Kingdom 1 1%
China 1 1%
Canada 1 1%
Australia 1 1%
Unknown 88 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 24 26%
Researcher 20 21%
Student > Master 14 15%
Student > Bachelor 7 7%
Student > Doctoral Student 4 4%
Other 15 16%
Unknown 10 11%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 43 46%
Biochemistry, Genetics and Molecular Biology 14 15%
Medicine and Dentistry 9 10%
Physics and Astronomy 3 3%
Neuroscience 3 3%
Other 8 9%
Unknown 14 15%
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 28 December 2012.
All research outputs
#18,408,707
of 27,521,156 outputs
Outputs from PROTEOMICS
#2,708
of 4,180 outputs
Outputs of similar age
#201,425
of 298,831 outputs
Outputs of similar age from PROTEOMICS
#33
of 78 outputs
Altmetric has tracked 27,521,156 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,180 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 31st percentile – i.e., 31% 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 298,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.