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Current Advances and Limitations in Modeling ALS/FTD in a Dish Using Induced Pluripotent Stem Cells

Overview of attention for article published in Frontiers in Neuroscience, December 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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2 news outlets
blogs
1 blog
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16 X users
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1 Facebook page

Citations

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54 Dimensions

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209 Mendeley
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Title
Current Advances and Limitations in Modeling ALS/FTD in a Dish Using Induced Pluripotent Stem Cells
Published in
Frontiers in Neuroscience, December 2017
DOI 10.3389/fnins.2017.00671
Pubmed ID
Authors

Wenting Guo, Laura Fumagalli, Robert Prior, Ludo Van Den Bosch

Abstract

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are two age-dependent multifactorial neurodegenerative disorders, which are typically characterized by the selective death of motor neurons and cerebral cortex neurons, respectively. These two diseases share many clinical, genetic and pathological aspects. During the past decade, cell reprogramming technologies enabled researchers to generate human induced pluripotent stem cells (iPSCs) from somatic cells. This resulted in the unique opportunity to obtain specific neuronal and non-neuronal cell types from patients which could be used for basic research. Moreover, these in vitro models can mimic not only the familial forms of ALS/FTD, but also sporadic cases without known genetic cause. At present, there have been extensive technical advances in the generation of iPSCs, as well as in the differentiation procedures to obtain iPSC-derived motor neurons, cortical neurons and non-neuronal cells. The major challenge at this moment is to determine whether these iPSC-derived cells show relevant phenotypes that recapitulate complex diseases. In this review, we will summarize the work related to iPSC models of ALS and FTD. In addition, we will discuss potential drawbacks and solutions for establishing more trustworthy iPSC models for both ALS and FTD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 209 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 18%
Researcher 34 16%
Student > Bachelor 25 12%
Student > Master 16 8%
Student > Postgraduate 12 6%
Other 25 12%
Unknown 59 28%
Readers by discipline Count As %
Neuroscience 53 25%
Biochemistry, Genetics and Molecular Biology 39 19%
Agricultural and Biological Sciences 23 11%
Medicine and Dentistry 9 4%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Other 19 9%
Unknown 59 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 06 February 2024.
All research outputs
#1,343,555
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#604
of 11,542 outputs
Outputs of similar age
#30,058
of 443,420 outputs
Outputs of similar age from Frontiers in Neuroscience
#13
of 187 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 94% 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 443,420 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 93% of its contemporaries.
We're also able to compare this research output to 187 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 93% of its contemporaries.