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Recent advances in 3D printing of biomaterials

Overview of attention for article published in Journal of Biological Engineering, March 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 313)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

blogs
2 blogs
policy
2 policy sources
twitter
6 X users
patent
4 patents
facebook
2 Facebook pages
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
1375 Dimensions

Readers on

mendeley
2663 Mendeley
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Title
Recent advances in 3D printing of biomaterials
Published in
Journal of Biological Engineering, March 2015
DOI 10.1186/s13036-015-0001-4
Pubmed ID
Authors

Helena N Chia, Benjamin M Wu

Abstract

3D Printing promises to produce complex biomedical devices according to computer design using patient-specific anatomical data. Since its initial use as pre-surgical visualization models and tooling molds, 3D Printing has slowly evolved to create one-of-a-kind devices, implants, scaffolds for tissue engineering, diagnostic platforms, and drug delivery systems. Fueled by the recent explosion in public interest and access to affordable printers, there is renewed interest to combine stem cells with custom 3D scaffolds for personalized regenerative medicine. Before 3D Printing can be used routinely for the regeneration of complex tissues (e.g. bone, cartilage, muscles, vessels, nerves in the craniomaxillofacial complex), and complex organs with intricate 3D microarchitecture (e.g. liver, lymphoid organs), several technological limitations must be addressed. In this review, the major materials and technology advances within the last five years for each of the common 3D Printing technologies (Three Dimensional Printing, Fused Deposition Modeling, Selective Laser Sintering, Stereolithography, and 3D Plotting/Direct-Write/Bioprinting) are described. Examples are highlighted to illustrate progress of each technology in tissue engineering, and key limitations are identified to motivate future research and advance this fascinating field of advanced manufacturing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 2,663 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 <1%
Spain 2 <1%
United Kingdom 2 <1%
Germany 1 <1%
Brazil 1 <1%
Egypt 1 <1%
France 1 <1%
China 1 <1%
Iran, Islamic Republic of 1 <1%
Other 2 <1%
Unknown 2649 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 544 20%
Student > Master 447 17%
Student > Bachelor 353 13%
Researcher 235 9%
Student > Doctoral Student 99 4%
Other 349 13%
Unknown 636 24%
Readers by discipline Count As %
Engineering 696 26%
Materials Science 268 10%
Medicine and Dentistry 186 7%
Chemistry 158 6%
Biochemistry, Genetics and Molecular Biology 111 4%
Other 460 17%
Unknown 784 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 06 June 2023.
All research outputs
#1,163,912
of 26,017,215 outputs
Outputs from Journal of Biological Engineering
#13
of 313 outputs
Outputs of similar age
#14,211
of 274,792 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 3 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 313 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 95% 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 274,792 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.