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Molecular network analysis of human microRNA targetome: from cancers to Alzheimer’s disease

Overview of attention for article published in BioData Mining, October 2012
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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 (85th percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters
reddit
1 Redditor

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
124 Mendeley
citeulike
3 CiteULike
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Title
Molecular network analysis of human microRNA targetome: from cancers to Alzheimer’s disease
Published in
BioData Mining, October 2012
DOI 10.1186/1756-0381-5-17
Pubmed ID
Authors

Jun-ichi Satoh

Abstract

MicroRNAs (miRNAs), a class of endogenous small noncoding RNAs, mediate posttranscriptional regulation of protein-coding genes by binding chiefly to the 3' untranslated region of target mRNAs, leading to translational inhibition, mRNA destabilization or degradation. A single miRNA concurrently downregulates hundreds of target mRNAs designated "targetome", and thereby fine-tunes gene expression involved in diverse cellular functions, such as development, differentiation, proliferation, apoptosis and metabolism. Recently, we characterized the molecular network of the whole human miRNA targetome by using bioinformatics tools for analyzing molecular interactions on the comprehensive knowledgebase. We found that the miRNA targetome regulated by an individual miRNA generally constitutes the biological network of functionally-associated molecules in human cells, closely linked to pathological events involved in cancers and neurodegenerative diseases. We also identified a collaborative regulation of gene expression by transcription factors and miRNAs in cancer-associated miRNA targetome networks. This review focuses on the workflow of molecular network analysis of miRNA targetome in silico. We applied the workflow to two representative datasets, composed of miRNA expression profiling of adult T cell leukemia (ATL) and Alzheimer's disease (AD), retrieved from Gene Expression Omnibus (GEO) repository. The results supported the view that miRNAs act as a central regulator of both oncogenesis and neurodegeneration.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Netherlands 1 <1%
India 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Spain 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 115 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 27%
Student > Ph. D. Student 30 24%
Student > Doctoral Student 12 10%
Student > Master 11 9%
Student > Bachelor 9 7%
Other 25 20%
Unknown 4 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 47%
Biochemistry, Genetics and Molecular Biology 17 14%
Medicine and Dentistry 15 12%
Computer Science 7 6%
Neuroscience 5 4%
Other 16 13%
Unknown 6 5%

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 30 July 2013.
All research outputs
#3,296,770
of 21,338,376 outputs
Outputs from BioData Mining
#81
of 298 outputs
Outputs of similar age
#22,446
of 152,962 outputs
Outputs of similar age from BioData Mining
#1
of 1 outputs
Altmetric has tracked 21,338,376 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 298 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. 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 152,962 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 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them