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microRNA: A Master Regulator of Cellular Processes for Bioengineering Systems

Overview of attention for article published in Annual Review of Biomedical Engineering, July 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 344)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
patent
2 patents

Citations

dimensions_citation
198 Dimensions

Readers on

mendeley
332 Mendeley
citeulike
2 CiteULike
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Title
microRNA: A Master Regulator of Cellular Processes for Bioengineering Systems
Published in
Annual Review of Biomedical Engineering, July 2010
DOI 10.1146/annurev-bioeng-070909-105314
Pubmed ID
Authors

Wei Sun, Yi-Shuan Julie Li, Hsien-Da Huang, John Y-J. Shyy, Shu Chien

Abstract

microRNAs (miRNAs) are small RNAs 18 to 24 nucleotides in length that serve the pivotal function of regulating gene expression. Instead of being translated into proteins, the mature single-stranded miRNA binds to messenger RNAs (mRNAs) to interfere with the translational process. It is estimated that whereas only 1% of the genomic transcripts in mammalian cells encode miRNA, nearly one-third of the encoded genes are regulated by miRNA. Various bioinformatics databases, tools, and algorithms have been developed to predict the sequences of miRNAs and their target genes. In combination with the in silico approaches in systems biology, experimental studies on miRNA provide a new bioengineering approach for understanding the mechanism of fine-tuning gene regulation. This review aims to provide state-of-the-art information on this important mechanism of gene regulation for researchers working in biomedical engineering and related fields. Particular emphases are placed on summarizing the current tools and strategies for miRNA study from a bioengineering perspective and the possible applications of miRNAs (such as antagomirs and miRNA sponges) in biomedical engineering research.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 332 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
Colombia 2 <1%
Brazil 2 <1%
Germany 1 <1%
Norway 1 <1%
Italy 1 <1%
Netherlands 1 <1%
Portugal 1 <1%
Sweden 1 <1%
Other 6 2%
Unknown 309 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 100 30%
Researcher 49 15%
Student > Master 44 13%
Student > Bachelor 36 11%
Student > Doctoral Student 19 6%
Other 56 17%
Unknown 28 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 169 51%
Biochemistry, Genetics and Molecular Biology 48 14%
Medicine and Dentistry 27 8%
Chemistry 12 4%
Engineering 12 4%
Other 31 9%
Unknown 33 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 03 October 2023.
All research outputs
#2,227,688
of 24,580,204 outputs
Outputs from Annual Review of Biomedical Engineering
#42
of 344 outputs
Outputs of similar age
#7,818
of 97,986 outputs
Outputs of similar age from Annual Review of Biomedical Engineering
#3
of 15 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done well, scoring higher than 87% 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 97,986 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.