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Tissue Engineering Approaches in the Design of Healthy and Pathological In Vitro Tissue Models

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, July 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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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15 X users
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2 Wikipedia pages

Citations

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203 Dimensions

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619 Mendeley
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Title
Tissue Engineering Approaches in the Design of Healthy and Pathological In Vitro Tissue Models
Published in
Frontiers in Bioengineering and Biotechnology, July 2017
DOI 10.3389/fbioe.2017.00040
Pubmed ID
Authors

Silvia Caddeo, Monica Boffito, Susanna Sartori

Abstract

In the tissue engineering (TE) paradigm, engineering and life sciences tools are combined to develop bioartificial substitutes for organs and tissues, which can in turn be applied in regenerative medicine, pharmaceutical, diagnostic, and basic research to elucidate fundamental aspects of cell functions in vivo or to identify mechanisms involved in aging processes and disease onset and progression. The complex three-dimensional (3D) microenvironment in which cells are organized in vivo allows the interaction between different cell types and between cells and the extracellular matrix, the composition of which varies as a function of the tissue, the degree of maturation, and health conditions. In this context, 3D in vitro models can more realistically reproduce a tissue or organ than two-dimensional (2D) models. Moreover, they can overcome the limitations of animal models and reduce the need for in vivo tests, according to the "3Rs" guiding principles for a more ethical research. The design of 3D engineered tissue models is currently in its development stage, showing high potential in overcoming the limitations of already available models. However, many issues are still opened, concerning the identification of the optimal scaffold-forming materials, cell source and biofabrication technology, and the best cell culture conditions (biochemical and physical cues) to finely replicate the native tissue and the surrounding environment. In the near future, 3D tissue-engineered models are expected to become useful tools in the preliminary testing and screening of drugs and therapies and in the investigation of the molecular mechanisms underpinning disease onset and progression. In this review, the application of TE principles to the design of in vitro 3D models will be surveyed, with a focus on the strengths and weaknesses of this emerging approach. In addition, a brief overview on the development of in vitro models of healthy and pathological bone, heart, pancreas, and liver will be presented.

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X Demographics

The data shown below were collected from the profiles of 15 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 619 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 619 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 105 17%
Student > Ph. D. Student 80 13%
Student > Master 80 13%
Researcher 44 7%
Student > Doctoral Student 29 5%
Other 59 10%
Unknown 222 36%
Readers by discipline Count As %
Engineering 94 15%
Biochemistry, Genetics and Molecular Biology 91 15%
Agricultural and Biological Sciences 37 6%
Medicine and Dentistry 30 5%
Materials Science 23 4%
Other 103 17%
Unknown 241 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 04 March 2023.
All research outputs
#3,258,900
of 25,403,829 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#442
of 8,519 outputs
Outputs of similar age
#56,851
of 327,021 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#4
of 18 outputs
Altmetric has tracked 25,403,829 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,519 research outputs from this source. They receive a mean Attention Score of 3.5. 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 327,021 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 82% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.