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Concise Review: New Frontiers in MicroRNA‐Based Tissue Regeneration

Overview of attention for article published in Stem Cells Translational Medicine, May 2014
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Title
Concise Review: New Frontiers in MicroRNA‐Based Tissue Regeneration
Published in
Stem Cells Translational Medicine, May 2014
DOI 10.5966/sctm.2014-0032
Pubmed ID
Authors

Jessica E. Frith, Enzo R. Porrello, Justin J. Cooper-White

Abstract

In recent years, the role of miRNAs in post-transcriptional gene regulation has come to the fore with strong evidence to indicate an important role for microRNAs (miRNAs) in the regulation of a wide range of fundamental biological processes. Notably, this includes the regulation of both endogenous tissue repair mechanisms and the growth and differentiation of stem cells (both adult and pluripotent). As a result, manipulation of miRNA signaling holds great promise for regenerative medicine, which aims to harness either endogenous or implanted cells to promote tissue repair. However, to fully realize this potential, it will be necessary to combine advances in our biological understanding with new technologies that allow precise spatiotemporal modulation of specific miRNA candidates. In this review, we highlight the role of miRNAs in tissue regeneration, discuss key challenges in translating this knowledge to the clinic, and outline recent technological advances that aim to address these issues. By combining a comprehensive knowledge of miRNA biology with cutting-edge delivery technologies, it is clear that miRNAs hold significant promise for tissue regenerative therapies in the future.

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The data shown below were collected from the profile of 1 X user 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 31%
Student > Ph. D. Student 8 25%
Student > Bachelor 4 13%
Student > Postgraduate 2 6%
Student > Master 2 6%
Other 4 13%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 31%
Biochemistry, Genetics and Molecular Biology 8 25%
Medicine and Dentistry 6 19%
Materials Science 2 6%
Engineering 2 6%
Other 0 0%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 November 2015.
All research outputs
#17,722,094
of 22,757,090 outputs
Outputs from Stem Cells Translational Medicine
#1,266
of 1,516 outputs
Outputs of similar age
#155,043
of 226,521 outputs
Outputs of similar age from Stem Cells Translational Medicine
#24
of 29 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,516 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.5. This one is in the 12th percentile – i.e., 12% 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 226,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.