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Computer-Aided Tissue Engineering

Overview of attention for book
Cover of 'Computer-Aided Tissue Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Biomimetic Boundary-Based Scaffold Design for Tissue Engineering Applications
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    Chapter 2 Triply Periodic Minimal Surfaces (TPMS) for the Generation of Porous Architectures Using Stereolithography
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    Chapter 3 3D Printing of Functionally Graded Films by Controlling Process Parameters
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    Chapter 4 Photocurable Biopolymers for Coaxial Bioprinting
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    Chapter 5 Synthesis of an UV-Curable Divinyl-Fumarate Poly-ε-Caprolactone for Stereolithography Applications
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    Chapter 6 Nanocomposite Clay-Based Bioinks for Skeletal Tissue Engineering
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    Chapter 7 Additive Manufacturing Using Melt Extruded Thermoplastics for Tissue Engineering
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    Chapter 8 Computer-Aided Wet-Spinning
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    Chapter 9 Production of Scaffolds Using Melt Electrospinning Writing and Cell Seeding
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    Chapter 10 Low-Voltage Continuous Electrospinning: A Versatile Protocol for Patterning Nano- and Micro-Scaled Fibers for Cell Interface
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    Chapter 11 Direct-Write Deposition of Thermogels
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    Chapter 12 3D Bioprinting of Complex, Cell-laden Alginate Constructs
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    Chapter 13 Surface Tension-Assisted Additive Manufacturing of Tubular, Multicomponent Biomaterials
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    Chapter 14 Bioprinting of Complex Vascularized Tissues
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    Chapter 15 A Scaffold Free 3D Bioprinted Cartilage Model for In Vitro Toxicology
Attention for Chapter 15: A Scaffold Free 3D Bioprinted Cartilage Model for In Vitro Toxicology
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1 X user

Citations

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14 Mendeley
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Chapter title
A Scaffold Free 3D Bioprinted Cartilage Model for In Vitro Toxicology
Chapter number 15
Book title
Computer-Aided Tissue Engineering
Published in
Methods in molecular biology, August 2020
DOI 10.1007/978-1-0716-0611-7_15
Pubmed ID
Book ISBNs
978-1-07-160610-0, 978-1-07-160611-7
Authors

Pallab Datta, Yang Wu, Yin Yu, Kazim K. Moncal, Ibrahim T. Ozbolat, Datta, Pallab, Wu, Yang, Yu, Yin, Moncal, Kazim K., Ozbolat, Ibrahim T.

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 7%
Other 1 7%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Student > Ph. D. Student 1 7%
Other 2 14%
Unknown 7 50%
Readers by discipline Count As %
Chemical Engineering 3 21%
Unspecified 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Engineering 1 7%
Unknown 8 57%
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 27 August 2020.
All research outputs
#15,624,448
of 23,232,430 outputs
Outputs from Methods in molecular biology
#5,456
of 13,317 outputs
Outputs of similar age
#248,570
of 399,261 outputs
Outputs of similar age from Methods in molecular biology
#91
of 213 outputs
Altmetric has tracked 23,232,430 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,317 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 399,261 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.