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Biomaterials for Tissue Engineering

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

Table of Contents

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    Book Overview
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    Chapter 1 Engineering Citric Acid-Based Porous Scaffolds for Bone Regeneration
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    Chapter 2 Multifunctional Self-Assembling Peptide-Based Nanostructures for Targeted Intracellular Delivery: Design, Physicochemical Characterization, and Biological Assessment
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    Chapter 3 Electrospinning Functionalized Polymers for Use as Tissue Engineering Scaffolds
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    Chapter 4 Low-Temperature Deposition Modeling of β-TCP Scaffolds with Controlled Bimodal Porosity
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    Chapter 5 Three-Dimensional Hydrogel-Based Culture to Study the Effects of Toxicants on Ovarian Follicles
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    Chapter 6 Layer-by-Layer Engineered Polymer Capsules for Therapeutic Delivery
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    Chapter 7 Controlling Fibrin Network Morphology, Polymerization, and Degradation Dynamics in Fibrin Gels for Promoting Tissue Repair
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    Chapter 8 Biofunctionalization of Poly(acrylamide) Gels
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    Chapter 9 Synthetic PEG Hydrogel for Engineering the Environment of Ovarian Follicles
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    Chapter 10 Engineering Human Neural Tissue by 3D Bioprinting
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    Chapter 11 High-Throughput Formation of Mesenchymal Stem Cell Spheroids and Entrapment in Alginate Hydrogels
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    Chapter 12 Crimped Electrospun Fibers for Tissue Engineering
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    Chapter 13 In Vitro Model of Macrophage-Biomaterial Interactions
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    Chapter 14 Synthesis of Self-Assembling Peptide-Based Hydrogels for Regenerative Medicine Using Solid-Phase Peptide Synthesis
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    Chapter 15 H2S Delivery from Aromatic Peptide Amphiphile Hydrogels
Attention for Chapter 13: In Vitro Model of Macrophage-Biomaterial Interactions
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Chapter title
In Vitro Model of Macrophage-Biomaterial Interactions
Chapter number 13
Book title
Biomaterials for Tissue Engineering
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7741-3_13
Pubmed ID
Book ISBNs
978-1-4939-7739-0, 978-1-4939-7741-3
Authors

Claire E. Witherel, Pamela L. Graney, Kara L. Spiller, Witherel, Claire E., Graney, Pamela L., Spiller, Kara L.

Abstract

Tissue engineering and regenerative medicine, facilitated by biomaterial-based therapies, hold promise for the repair, replacement, or regeneration of damaged tissue. The success or failure of all implanted biomaterials, ranging from stainless steel total joint replacements to naturally or synthetically derived skin grafts, is predominantly mediated by macrophages, the primary cell of the innate immune system. In an effort to better assess safety and efficacy of novel biomaterials, evaluating and understanding macrophage-biomaterial interactions is a necessary first step. Here, we describe the culture of macrophages on 3D biomaterials, such as decellularized human cortical bone or commercially available wound matrices, and subsequent analysis using gene expression and protein secretion to help understand how biomaterial properties may influence macrophage phenotype in vitro.

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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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Student > Ph. D. Student 4 17%
Researcher 3 13%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 1 4%
Unknown 9 39%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Chemical Engineering 3 13%
Business, Management and Accounting 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 11 48%
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 23 April 2018.
All research outputs
#18,604,390
of 23,045,021 outputs
Outputs from Methods in molecular biology
#7,992
of 13,194 outputs
Outputs of similar age
#330,627
of 442,416 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
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So far Altmetric has tracked 13,194 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.
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We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.