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Cartilage Tissue Engineering

Overview of attention for book
Cover of 'Cartilage Tissue Engineering'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Cartilage Tissue Engineering
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    Chapter 2 Cartilage Tissue Engineering
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    Chapter 3 Mesenchymal Stem Cells Derived from Human Bone Marrow
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    Chapter 4 Cartilage Tissue Engineering
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    Chapter 5 Derivation and Chondrogenic Commitment of Human Embryonic Stem Cell-Derived Mesenchymal Progenitors
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    Chapter 6 Differentiation of Human Induced Pluripotent Stem Cells to Chondrocytes
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    Chapter 7 Gene Transfer and Gene Silencing in Stem Cells to Promote Chondrogenesis
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    Chapter 8 Hydrogels with Tunable Properties
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    Chapter 9 Decellularized Extracellular Matrix Scaffolds for Cartilage Regeneration
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    Chapter 10 Use of Interim Scaffolding and Neotissue Development to Produce a Scaffold-Free Living Hyaline Cartilage Graft
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    Chapter 11 Bioprinted Scaffolds for Cartilage Tissue Engineering.
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    Chapter 12 Scaffolds for Controlled Release of Cartilage Growth Factors
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    Chapter 13 Nanostructured Capsules for Cartilage Tissue Engineering
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    Chapter 14 Stratified Scaffolds for Osteochondral Tissue Engineering
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    Chapter 15 Mechanobioreactors for Cartilage Tissue Engineering
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    Chapter 16 Cartilage Tissue Engineering
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    Chapter 17 Microbioreactors for Cartilage Tissue Engineering
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    Chapter 18 Transplantation of Tissue-Engineered Cartilage in an Animal Model (Xenograft and Autograft): Construct Validation.
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    Chapter 19 Cartilage Tissue Engineering
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    Chapter 20 Mechanical Testing of Cartilage Constructs
Attention for Chapter 19: Cartilage Tissue Engineering
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Chapter title
Cartilage Tissue Engineering
Chapter number 19
Book title
Cartilage Tissue Engineering
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2938-2_19
Pubmed ID
Book ISBNs
978-1-4939-2937-5, 978-1-4939-2938-2
Authors

Pu, Xinzhu, Oxford, Julia Thom, Xinzhu Pu, Julia Thom Oxford

Abstract

Tissue engineering holds promise for the treatment of damaged and diseased tissues, especially for those tissues that do not undergo repair and regeneration readily in situ. Many techniques are available for cell and tissue culturing and differentiation of chondrocytes using a variety of cell types, differentiation methods, and scaffolds. In each case, it is critical to demonstrate the cellular phenotype and tissue composition, with particular attention to the extracellular matrix molecules that play a structural role and that contribute to the mechanical properties of the resulting tissue construct. Mass spectrometry provides an ideal analytical method with which to characterize the full spectrum of proteins produced by tissue-engineered cartilage. Using normal cartilage tissue as a standard, tissue-engineered cartilage can be optimized according to the entire proteome. Proteomic analysis is a complementary approach to biochemical, immunohistochemical, and mechanical testing of cartilage constructs. Proteomics is applicable as an analysis approach to most cartilage constructs generated from a variety of cellular sources including primary chondrocytes, mesenchymal stem cells from bone marrow, adipose tissue, induced pluripotent stem cells, and embryonic stem cells. Additionally, proteomics can be used to optimize novel scaffolds and bioreactor applications, yielding cartilage tissue with the proteomic profile of natural cartilage.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Student > Bachelor 3 11%
Researcher 3 11%
Student > Doctoral Student 2 7%
Professor > Associate Professor 2 7%
Other 2 7%
Unknown 9 32%
Readers by discipline Count As %
Engineering 7 25%
Biochemistry, Genetics and Molecular Biology 6 21%
Environmental Science 2 7%
Medicine and Dentistry 2 7%
Agricultural and Biological Sciences 1 4%
Other 2 7%
Unknown 8 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 April 2016.
All research outputs
#18,450,346
of 22,860,626 outputs
Outputs from Methods in molecular biology
#7,923
of 13,127 outputs
Outputs of similar age
#256,031
of 353,286 outputs
Outputs of similar age from Methods in molecular biology
#481
of 997 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 353,286 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 997 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.