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Generation of Multi-scale Vascular Network System Within 3D Hydrogel Using 3D Bio-printing Technology

Overview of attention for article published in Cellular and Molecular Bioengineering, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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2 X users
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1 patent
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1 Facebook page

Citations

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298 Dimensions

Readers on

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507 Mendeley
Title
Generation of Multi-scale Vascular Network System Within 3D Hydrogel Using 3D Bio-printing Technology
Published in
Cellular and Molecular Bioengineering, June 2014
DOI 10.1007/s12195-014-0340-0
Pubmed ID
Authors

Vivian K. Lee, Alison M. Lanzi, Haygan Ngo, Seung-Schik Yoo, Peter A. Vincent, Guohao Dai

Abstract

Although 3D bio-printing technology has great potential in creating complex tissues with multiple cell types and matrices, maintaining the viability of thick tissue construct for tissue growth and maturation after the printing is challenging due to lack of vascular perfusion. Perfused capillary network can be a solution for this issue; however, construction of a complete capillary network at single cell level using the existing technology is nearly impossible due to limitations in time and spatial resolution of the dispensing technology. To address the vascularization issue, we developed a 3D printing method to construct larger (lumen size of ~1mm) fluidic vascular channels and to create adjacent capillary network through a natural maturation process, thus providing a feasible solution to connect the capillary network to the large perfused vascular channels. In our model, microvascular bed was formed in between two large fluidic vessels, and then connected to the vessels by angiogenic sprouting from the large channel edge. Our bio-printing technology has a great potential in engineering vascularized thick tissues and vascular niches, as the vascular channels are simultaneously created while cells and matrices are printed around the channels in desired 3D patterns.

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

Geographical breakdown

Country Count As %
United States 4 <1%
Germany 3 <1%
Canada 1 <1%
Switzerland 1 <1%
Japan 1 <1%
Denmark 1 <1%
Unknown 496 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 124 24%
Student > Master 83 16%
Student > Bachelor 72 14%
Researcher 52 10%
Student > Doctoral Student 32 6%
Other 50 10%
Unknown 94 19%
Readers by discipline Count As %
Engineering 171 34%
Agricultural and Biological Sciences 48 9%
Biochemistry, Genetics and Molecular Biology 46 9%
Materials Science 35 7%
Medicine and Dentistry 30 6%
Other 64 13%
Unknown 113 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 June 2021.
All research outputs
#6,405,869
of 22,757,090 outputs
Outputs from Cellular and Molecular Bioengineering
#115
of 457 outputs
Outputs of similar age
#61,325
of 228,688 outputs
Outputs of similar age from Cellular and Molecular Bioengineering
#2
of 16 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 457 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 74% 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 228,688 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.