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Concise Review: Patient-Specific Stem Cells to Interrogate Inherited Eye Disease

Overview of attention for article published in Stem Cells Translational Medicine, December 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
2 X users
patent
1 patent
facebook
3 Facebook pages

Readers on

mendeley
53 Mendeley
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Article details
Title
Concise Review: Patient-Specific Stem Cells to Interrogate Inherited Eye Disease
Published in
Stem Cells Translational Medicine, December 2015
DOI 10.5966/sctm.2015-0206
Pubmed ID
Authors
Abstract

: Whether we are driving to work or spending time with loved ones, we depend on our sense of vision to interact with the world around us. Therefore, it is understandable why blindness for many is feared above death itself. Heritable diseases of the retina, such as glaucoma, age-related macular degeneration, and retinitis pigmentosa, are major causes of blindness worldwide. The recent success of gene augmentation trials for the treatment of RPE65-associated Leber congenital amaurosis has underscored the need for model systems that accurately recapitulate disease. With the advent of patient-specific induced pluripotent stem cells (iPSCs), researchers are now able to obtain disease-specific cell types that would otherwise be unavailable for molecular analysis. In the present review, we discuss how the iPSC technology is being used to confirm the pathogenesis of novel genetic variants, interrogate the pathophysiology of disease, and accelerate the development of patient-centered treatments. Stem cell technology has created the opportunity to advance treatments for multiple forms of blindness. Researchers are now able to use a person's cells to generate tissues found in the eye. This technology can be used to elucidate the genetic causes of disease and develop treatment strategies. In the present review, how stem cell technology is being used to interrogate the pathophysiology of eye disease and accelerate the development of patient-centered treatments is discussed.

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X Demographics

X Demographics

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

Mendeley demographics

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Netherlands 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 10 19%
Student > Ph. D. Student 8 15%
Other 4 8%
Student > Bachelor 4 8%
Professor 4 8%
Other 11 21%
Unknown 12 23%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 21%
Agricultural and Biological Sciences 8 15%
Medicine and Dentistry 8 15%
Neuroscience 2 4%
Veterinary Science and Veterinary Medicine 1 2%
Other 5 9%
Unknown 18 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 21 March 2023.
All research outputs
#8,288,210
of 31,393,817 outputs
Outputs from Stem Cells Translational Medicine
#762
of 1,699 outputs
Outputs of similar age
#99,953
of 419,097 outputs
Outputs of similar age from Stem Cells Translational Medicine
#19
of 43 outputs
Altmetric has tracked 31,393,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,699 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. This one has gotten more attention than average, scoring higher than 54% 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 419,097 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 76% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.