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Three-dimensional bioprinting in tissue engineering and regenerative medicine

Overview of attention for article published in Biotechnology Techniques, October 2015
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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2 X users

Citations

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187 Dimensions

Readers on

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388 Mendeley
Title
Three-dimensional bioprinting in tissue engineering and regenerative medicine
Published in
Biotechnology Techniques, October 2015
DOI 10.1007/s10529-015-1975-1
Pubmed ID
Authors

Guifang Gao, Xiaofeng Cui

Abstract

With the advances of stem cell research, development of intelligent biomaterials and three-dimensional biofabrication strategies, highly mimicked tissue or organs can be engineered. Among all the biofabrication approaches, bioprinting based on inkjet printing technology has the promises to deliver and create biomimicked tissue with high throughput, digital control, and the capacity of single cell manipulation. Therefore, this enabling technology has great potential in regenerative medicine and translational applications. The most current advances in organ and tissue bioprinting based on the thermal inkjet printing technology are described in this review, including vasculature, muscle, cartilage, and bone. In addition, the benign side effect of bioprinting to the printed mammalian cells can be utilized for gene or drug delivery, which can be achieved conveniently during precise cell placement for tissue construction. With layer-by-layer assembly, three-dimensional tissues with complex structures can be printed using converted medical images. Therefore, bioprinting based on thermal inkjet is so far the most optimal solution to engineer vascular system to the thick and complex tissues. Collectively, bioprinting has great potential and broad applications in tissue engineering and regenerative medicine. The future advances of bioprinting include the integration of different printing mechanisms to engineer biphasic or triphasic tissues with optimized scaffolds and further understanding of stem cell biology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 388 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 <1%
Malaysia 1 <1%
Colombia 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 382 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 71 18%
Student > Bachelor 70 18%
Student > Ph. D. Student 46 12%
Researcher 36 9%
Student > Doctoral Student 21 5%
Other 49 13%
Unknown 95 24%
Readers by discipline Count As %
Engineering 84 22%
Medicine and Dentistry 48 12%
Biochemistry, Genetics and Molecular Biology 44 11%
Agricultural and Biological Sciences 33 9%
Materials Science 20 5%
Other 46 12%
Unknown 113 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 October 2015.
All research outputs
#17,236,404
of 25,374,917 outputs
Outputs from Biotechnology Techniques
#2,203
of 2,762 outputs
Outputs of similar age
#173,524
of 291,148 outputs
Outputs of similar age from Biotechnology Techniques
#16
of 33 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,762 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 20th percentile – i.e., 20% 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 291,148 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.