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Direct UV-Triggered Thiol–ene Cross-Linking of Electrospun Polyester Fibers from Unsaturated Poly(macrolactone)s and Their Drug Loading by Solvent Swelling

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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42 Mendeley
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Title
Direct UV-Triggered Thiol–ene Cross-Linking of Electrospun Polyester Fibers from Unsaturated Poly(macrolactone)s and Their Drug Loading by Solvent Swelling
Published in
Biomacromolecules, November 2017
DOI 10.1021/acs.biomac.7b01335
Pubmed ID
Authors

Fernando C. S. de Oliveira, Dinorath Olvera, Michael J. Sawkins, Sally-Ann Cryan, Scott D. Kimmins, Tatiane Eufrasio da Silva, Daniel J. Kelly, Garry P. Duffy, Cathal Kearney, Andreas Heise

Abstract

Electrospinning is considered a relatively simple and versatile technique to form high porosity porous scaffolds with micron to nanoscale fibers for biomedical applications. Here, electrospinning of unsaturated aliphatic polyglobalide (PGl) into well-defined fibers with an average diameter of 9 μm is demonstrated. Addition of a dithiol cross-linker and a photoinitiator to the polymer solution enabled the UV-triggered intracross-linking of the fibers during the spinning process. The in situ cross-linking of the fibers resulted in amorphous material able to swell up to 14% in tetrahydrofurane (THF) without losing the fiber morphology. Seeding mesenchymal stem cells (MSCs) onto both cross-linked and non-cross-linked PGl fibers proved their compatibility with MSCs and suitability as scaffolds for cell growth and proliferation of MSCs. Moreover, the ability to directly load cross-linked PGl with hydrophobic molecules by soaking the fiber mesh in solution is shown with Rhodamine B and Indomethacin, a hydrophobic anti-inflammatory drug. This marks an advantage over conventional aliphatic polyesters and opens opportunities for the design of drug loaded polyester scaffolds for biomedical applications or tissue engineering.

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X Demographics

The data shown below were collected from the profiles of 10 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 33%
Student > Master 5 12%
Researcher 4 10%
Student > Bachelor 3 7%
Professor 3 7%
Other 7 17%
Unknown 6 14%
Readers by discipline Count As %
Engineering 11 26%
Chemistry 10 24%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Chemical Engineering 2 5%
Materials Science 2 5%
Other 2 5%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 12 April 2018.
All research outputs
#3,995,503
of 24,032,151 outputs
Outputs from Biomacromolecules
#672
of 4,570 outputs
Outputs of similar age
#69,235
of 329,088 outputs
Outputs of similar age from Biomacromolecules
#3
of 60 outputs
Altmetric has tracked 24,032,151 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,570 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 85% 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 329,088 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 60 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 96% of its contemporaries.