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3-D Bioprinting of Neural Tissue for Applications in Cell Therapy and Drug Screening

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, November 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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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14 X users
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1 Facebook page

Citations

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60 Dimensions

Readers on

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199 Mendeley
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Title
3-D Bioprinting of Neural Tissue for Applications in Cell Therapy and Drug Screening
Published in
Frontiers in Bioengineering and Biotechnology, November 2017
DOI 10.3389/fbioe.2017.00069
Pubmed ID
Authors

Michaela Thomas, Stephanie M. Willerth

Abstract

Neurodegenerative diseases affect millions of individuals in North America and cost the health-care industry billions of dollars for treatment. Current treatment options for degenerative diseases focus on physical rehabilitation or drug therapies, which temporarily mask the effects of cell damage, but quickly lose their efficacy. Cell therapies for the central nervous system remain an untapped market due to the complexity involved in growing neural tissues, controlling their differentiation, and protecting them from the hostile environment they meet upon implantation. Designing tissue constructs for the discovery of better drug treatments are also limited due to the resolution needed for an accurate cellular representation of the brain, in addition to being expensive and difficult to translate to biocompatible materials. 3-D printing offers a streamlined solution for engineering brain tissue for drug discovery or, in the future, for implantation. New microfluidic and bioplotting devices offer increased resolution, little impact on cell viability and have been tested with several bioink materials including fibrin, collagen, hyaluronic acid, poly(caprolactone), and poly(ethylene glycol). This review details current efforts at bioprinting neural tissue and highlights promising avenues for future work.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 199 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 18%
Student > Ph. D. Student 31 16%
Student > Bachelor 31 16%
Researcher 23 12%
Student > Doctoral Student 8 4%
Other 23 12%
Unknown 47 24%
Readers by discipline Count As %
Engineering 33 17%
Biochemistry, Genetics and Molecular Biology 29 15%
Materials Science 16 8%
Neuroscience 16 8%
Agricultural and Biological Sciences 14 7%
Other 33 17%
Unknown 58 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 31 December 2017.
All research outputs
#4,489,040
of 25,250,629 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#620
of 8,371 outputs
Outputs of similar age
#84,931
of 444,635 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#7
of 27 outputs
Altmetric has tracked 25,250,629 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,371 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 92% 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 444,635 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 80% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.