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Human stem cell models of neurodegeneration: a novel approach to study mechanisms of disease development

Overview of attention for article published in Acta Neuropathologica, December 2013
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  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users
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1 patent

Citations

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41 Dimensions

Readers on

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154 Mendeley
Title
Human stem cell models of neurodegeneration: a novel approach to study mechanisms of disease development
Published in
Acta Neuropathologica, December 2013
DOI 10.1007/s00401-013-1222-6
Pubmed ID
Authors

Gunnar Hargus, Marc Ehrlich, Anna-Lena Hallmann, Tanja Kuhlmann

Abstract

The number of patients with neurodegenerative diseases is increasing significantly worldwide. Thus, intense research is being pursued to uncover mechanisms of disease development in an effort to identify molecular targets for therapeutic intervention. Analysis of postmortem tissue from patients has yielded important histological and biochemical markers of disease progression. However, this approach is inherently limited because it is not possible to study patient neurons prior to degeneration. As such, transgenic and knockout models of neurodegenerative diseases are commonly employed. While these animal models have yielded important insights into some molecular mechanisms of disease development, they do not provide the opportunity to study mechanisms of neurodegeneration in human neurons at risk and thus, it is often difficult or even impossible to replicate human pathogenesis with this approach. The generation of patient-specific induced pluripotent stem (iPS) cells offers a unique opportunity to overcome these obstacles. By expanding and differentiating iPS cells, it is possible to generate large numbers of functional neurons in vitro, which can then be used to study the disease of the donating patient. Here, we provide an overview of human stem cell models of neurodegeneration using iPS cells from patients with Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, frontotemporal dementia, Huntington's disease, spinal muscular atrophy and other neurodegenerative diseases. In addition, we describe how further refinements of reprogramming technology resulted in the generation of patient-specific induced neurons, which have also been used to model neurodegenerative changes in vitro.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 3 2%
United States 2 1%
Portugal 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Spain 1 <1%
United Kingdom 1 <1%
Unknown 144 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 20%
Researcher 29 19%
Student > Master 22 14%
Student > Bachelor 20 13%
Student > Doctoral Student 7 5%
Other 25 16%
Unknown 20 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 32%
Neuroscience 27 18%
Medicine and Dentistry 20 13%
Biochemistry, Genetics and Molecular Biology 15 10%
Pharmacology, Toxicology and Pharmaceutical Science 8 5%
Other 9 6%
Unknown 26 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 June 2017.
All research outputs
#6,024,022
of 22,733,113 outputs
Outputs from Acta Neuropathologica
#1,237
of 2,363 outputs
Outputs of similar age
#71,210
of 306,767 outputs
Outputs of similar age from Acta Neuropathologica
#24
of 38 outputs
Altmetric has tracked 22,733,113 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 2,363 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 47th percentile – i.e., 47% 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 306,767 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 38 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.