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Induced Pluripotent Stem Cells for Traumatic Spinal Cord Injury

Overview of attention for article published in Frontiers in Cell and Developmental Biology, January 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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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18 X users
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3 Facebook pages

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110 Mendeley
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Title
Induced Pluripotent Stem Cells for Traumatic Spinal Cord Injury
Published in
Frontiers in Cell and Developmental Biology, January 2017
DOI 10.3389/fcell.2016.00152
Pubmed ID
Authors

Mohamad Khazaei, Christopher S. Ahuja, Michael G. Fehlings

Abstract

Spinal cord injury (SCI) is a common cause of mortality and neurological morbidity. Although progress had been made in the last decades in medical, surgical, and rehabilitation treatments for SCI, the outcomes of these approaches are not yet ideal. The use of cell transplantation as a therapeutic strategy for the treatment of SCI is very promising. Cell therapies for the treatment of SCI are limited by several translational road blocks, including ethical concerns in relation to cell sources. The use of iPSCs is particularly attractive, given that they provide an autologous cell source and avoid the ethical and moral considerations of other stem cell sources. In addition, different cell types, that are applicable to SCI, can be created from iPSCs. Common cell sources used for reprogramming are skin fibroblasts, keratinocytes, melanocytes, CD34+ cells, cord blood cells and adipose stem cells. Different cell types have different genetic and epigenetic considerations that affect their reprogramming efficiencies. Furthermore, in SCI the iPSCs can be differentiated to neural precursor cells, neural crest cells, neurons, oligodendrocytes, astrocytes, and even mesenchymal stromal cells. These can produce functional recovery by replacing lost cells and/or modulating the lesion microenvironment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 109 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 18%
Student > Ph. D. Student 17 15%
Researcher 13 12%
Student > Doctoral Student 9 8%
Professor > Associate Professor 8 7%
Other 17 15%
Unknown 26 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 16%
Neuroscience 16 15%
Medicine and Dentistry 16 15%
Agricultural and Biological Sciences 13 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 13 12%
Unknown 31 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 25 February 2017.
All research outputs
#2,801,891
of 25,155,561 outputs
Outputs from Frontiers in Cell and Developmental Biology
#546
of 10,344 outputs
Outputs of similar age
#55,488
of 428,781 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#5
of 33 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,344 research outputs from this source. They receive a mean Attention Score of 3.6. 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 428,781 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 87% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.