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CRISPR-targeted genome editing of mesenchymal stem cell-derived therapies for type 1 diabetes: a path to clinical success?

Overview of attention for article published in Stem Cell Research & Therapy, March 2017
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
5 X users
video
1 YouTube creator

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
130 Mendeley
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Title
CRISPR-targeted genome editing of mesenchymal stem cell-derived therapies for type 1 diabetes: a path to clinical success?
Published in
Stem Cell Research & Therapy, March 2017
DOI 10.1186/s13287-017-0511-8
Pubmed ID
Authors

Dario Gerace, Rosetta Martiniello-Wilks, Najah Therese Nassif, Sara Lal, Raymond Steptoe, Ann Margaret Simpson

Abstract

Due to their ease of isolation, differentiation capabilities, and immunomodulatory properties, the therapeutic potential of mesenchymal stem cells (MSCs) has been assessed in numerous pre-clinical and clinical settings. Currently, whole pancreas or islet transplantation is the only cure for people with type 1 diabetes (T1D) and, due to the autoimmune nature of the disease, MSCs have been utilised either natively or transdifferentiated into insulin-producing cells (IPCs) as an alternative treatment. However, the initial success in pre-clinical animal models has not translated into successful clinical outcomes. Thus, this review will summarise the current state of MSC-derived therapies for the treatment of T1D in both the pre-clinical and clinical setting, in particular their use as an immunomodulatory therapy and targets for the generation of IPCs via gene modification. In this review, we highlight the limitations of current clinical trials of MSCs for the treatment of T1D, and suggest the novel clustered regularly interspaced short palindromic repeat (CRISPR) gene-editing technology and improved clinical trial design as strategies to translate pre-clinical success to the clinical setting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 <1%
Unknown 129 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 27 21%
Student > Ph. D. Student 23 18%
Student > Master 15 12%
Researcher 9 7%
Other 4 3%
Other 13 10%
Unknown 39 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 31%
Medicine and Dentistry 17 13%
Agricultural and Biological Sciences 14 11%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Engineering 4 3%
Other 10 8%
Unknown 40 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 01 December 2021.
All research outputs
#1,785,179
of 24,417,958 outputs
Outputs from Stem Cell Research & Therapy
#94
of 2,611 outputs
Outputs of similar age
#34,939
of 312,048 outputs
Outputs of similar age from Stem Cell Research & Therapy
#3
of 59 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,611 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 96% 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 312,048 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 88% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.