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Cryogenic 3D Printing of Super Soft Hydrogels

Overview of attention for article published in Scientific Reports, November 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
31 news outlets
blogs
5 blogs
twitter
36 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
162 Mendeley
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Title
Cryogenic 3D Printing of Super Soft Hydrogels
Published in
Scientific Reports, November 2017
DOI 10.1038/s41598-017-16668-9
Pubmed ID
Authors

Zhengchu Tan, Cristian Parisi, Lucy Di Silvio, Daniele Dini, Antonio Elia Forte

Abstract

Conventional 3D bioprinting allows fabrication of 3D scaffolds for biomedical applications. In this contribution we present a cryogenic 3D printing method able to produce stable 3D structures by utilising the liquid to solid phase change of a composite hydrogel (CH) ink. This is achieved by rapidly cooling the ink solution below its freezing point using solid carbon dioxide (CO2) in an isopropanol bath. The setup was able to successfully create 3D complex geometrical structures, with an average compressive stiffness of O(1) kPa (0.49 ± 0.04 kPa stress at 30% compressive strain) and therefore mimics the mechanical properties of the softest tissues found in the human body (e.g. brain and lung). The method was further validated by showing that the 3D printed material was well matched to the cast-moulded equivalent in terms of mechanical properties and microstructure. A preliminary biological evaluation on the 3D printed material, coated with collagen type I, poly-L-lysine and gelatine, was performed by seeding human dermal fibroblasts. Cells showed good attachment and viability on the collagen-coated 3D printed CH. This greatly widens the range of applications for the cryogenically 3D printed CH structures, from soft tissue phantoms for surgical training and simulations to mechanobiology and tissue engineering.

Twitter Demographics

The data shown below were collected from the profiles of 36 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 162 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 20%
Researcher 27 17%
Student > Master 24 15%
Student > Bachelor 22 14%
Student > Doctoral Student 11 7%
Other 15 9%
Unknown 31 19%
Readers by discipline Count As %
Engineering 38 23%
Materials Science 21 13%
Chemistry 15 9%
Agricultural and Biological Sciences 14 9%
Biochemistry, Genetics and Molecular Biology 10 6%
Other 22 14%
Unknown 42 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 284. 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 13 August 2019.
All research outputs
#61,553
of 16,531,225 outputs
Outputs from Scientific Reports
#784
of 88,113 outputs
Outputs of similar age
#2,612
of 416,266 outputs
Outputs of similar age from Scientific Reports
#126
of 13,361 outputs
Altmetric has tracked 16,531,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 88,113 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. This one has done particularly well, scoring higher than 99% 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 416,266 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 99% of its contemporaries.
We're also able to compare this research output to 13,361 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.