↓ Skip to main content

Mesenchymal Stem Cell-derived Extracellular Vesicles: Toward Cell-free Therapeutic Applications

Overview of attention for article published in Molecular Therapy, May 2015
Altmetric Badge

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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
7 tweeters
patent
7 patents

Citations

dimensions_citation
546 Dimensions

Readers on

mendeley
617 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Mesenchymal Stem Cell-derived Extracellular Vesicles: Toward Cell-free Therapeutic Applications
Published in
Molecular Therapy, May 2015
DOI 10.1038/mt.2015.44
Pubmed ID
Authors

Sweta Rani, Aideen E Ryan, Matthew D Griffin, Thomas Ritter

Abstract

Mesenchymal stem (stromal) cells (MSCs) are multipotent cells with the ability to differentiate into several cell types, thus serving as a cell reservoir for regenerative medicine. Much of the current interest in therapeutic application of MSCs to various disease settings can be linked to their immunosuppressive and anti-inflammatory properties. One of the key mechanisms of MSC anti-inflammatory effects is the secretion of soluble factors with paracrine actions. Recently it has emerged that the paracrine functions of MSCs could, at least in part, be mediated by extracellular vesicles (EVs). EVs are predominantly released from the endosomal compartment and contain a cargo that includes miRNA, mRNA, and proteins from their cells of origin. Recent animal model-based studies suggest that EVs have significant potential as a novel alternative to whole cell therapies. Compared to their parent cells, EVs may have a superior safety profile and can be safely stored without losing function. In this article, we review current knowledge related to the potential use of MSC-derived EVs in various diseases and discuss the promising future for EVs as an alternative, cell-free therapy.Molecular Therapy (2015); doi:10.1038/mt.2015.44.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 617 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Austria 2 <1%
Australia 1 <1%
Netherlands 1 <1%
Turkey 1 <1%
Egypt 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 607 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 140 23%
Student > Master 98 16%
Researcher 85 14%
Student > Bachelor 73 12%
Student > Doctoral Student 32 5%
Other 65 11%
Unknown 124 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 150 24%
Medicine and Dentistry 99 16%
Agricultural and Biological Sciences 73 12%
Engineering 34 6%
Pharmacology, Toxicology and Pharmaceutical Science 28 5%
Other 74 12%
Unknown 159 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 September 2021.
All research outputs
#1,172,738
of 19,069,422 outputs
Outputs from Molecular Therapy
#265
of 4,082 outputs
Outputs of similar age
#18,261
of 234,639 outputs
Outputs of similar age from Molecular Therapy
#9
of 90 outputs
Altmetric has tracked 19,069,422 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,082 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 93% 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 234,639 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 92% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.