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Multimodal Actions of Neural Stem Cells in a Mouse Model of ALS: A Meta-Analysis

Overview of attention for article published in Science Translational Medicine, December 2012
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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 (95th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

blogs
1 blog
twitter
23 X users
facebook
3 Facebook pages

Readers on

mendeley
125 Mendeley
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Article details
Title
Multimodal Actions of Neural Stem Cells in a Mouse Model of ALS: A Meta-Analysis
Published in
Science Translational Medicine, December 2012
DOI 10.1126/scitranslmed.3004579
Pubmed ID
Authors
Abstract

Amyotrophic lateral sclerosis (ALS) is a lethal disease characterized by the unremitting degeneration of motor neurons. Multiple processes involving motor neurons and other cell types have been implicated in its pathogenesis. Neural stem cells (NSCs) perform multiple actions within the nervous system to fulfill their functions of organogenesis and homeostasis. We test the hypothesis that transplanted, undifferentiated multipotent migratory NSCs may help to ameliorate an array of pathological mechanisms in the SOD1(G93A) transgenic mouse model of ALS. On the basis of a meta-analysis of 11 independent studies performed by a consortium of ALS investigators, we propose that transplanted NSCs (both mouse and human) can slow both the onset and the progression of clinical signs and prolong survival in ALS mice, particularly if regions sustaining vital functions such as respiration are rendered chimeric. The beneficial effects of transplanted NSCs seem to be mediated by a number of actions including their ability to produce trophic factors, preserve neuromuscular function, and reduce astrogliosis and inflammation. We conclude that the widespread, pleiotropic, modulatory actions exerted by transplanted NSCs may represent an accessible therapeutic application of stem cells for treating ALS and other untreatable degenerative diseases.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 2%
Uruguay 1 <1%
Turkey 1 <1%
Sweden 1 <1%
Spain 1 <1%
Germany 1 <1%
Unknown 117 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 22 18%
Researcher 22 18%
Student > Bachelor 21 17%
Student > Master 8 6%
Professor 6 5%
Other 22 18%
Unknown 24 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 41 33%
Medicine and Dentistry 22 18%
Biochemistry, Genetics and Molecular Biology 12 10%
Neuroscience 11 9%
Immunology and Microbiology 2 2%
Other 7 6%
Unknown 30 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 10 January 2013.
All research outputs
#1,787,201
of 28,841,988 outputs
Outputs from Science Translational Medicine
#2,826
of 5,453 outputs
Outputs of similar age
#14,328
of 302,927 outputs
Outputs of similar age from Science Translational Medicine
#30
of 76 outputs
Altmetric has tracked 28,841,988 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 5,453 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 92.3. This one is in the 48th percentile – i.e., 48% 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 302,927 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 95% of its contemporaries.
We're also able to compare this research output to 76 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 60% of its contemporaries.