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Composite of Elastin-Based Matrix and Electrospun Poly(L-Lactic Acid) Fibers: A Potential Smart Drug Delivery System

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, September 2018
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Title
Composite of Elastin-Based Matrix and Electrospun Poly(L-Lactic Acid) Fibers: A Potential Smart Drug Delivery System
Published in
Frontiers in Bioengineering and Biotechnology, September 2018
DOI 10.3389/fbioe.2018.00127
Pubmed ID
Authors

Antonella Bandiera, Sabina Passamonti, Luisa Stella Dolci, Maria Letizia Focarete

Abstract

Stimuli-responsive hydrogel matrices are inspiring manifold applications in controlled delivery of bioactive compounds. Elastin-derived polypeptides form hydrogel matrices that may release bioactive moieties as a function of local increase of active elastases, as it would occur in several processes like inflammation. In view of the development of a patch for healing wounds, recombinant elastin-based polypeptides were combined with a proteolysis-resistant scaffold, made of electrospun poly-L-lactic acid (PLLA) fibers. The results of this study demonstrated the compatibility of these two components. An efficient procedure to obtain a composite material retaining the main features of each component was established. The release of the elastin moiety was monitored by means of a simple protocol. Our data showed that electrospun PLLA can form a composite with fusion proteins bound to elastin-derived polypeptides. Therefore, our approach allows designing a therapeutic agent delivery platform to realize devices capable of responding and interacting with biological systems at the molecular level.

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Master 2 17%
Student > Bachelor 1 8%
Student > Ph. D. Student 1 8%
Unknown 5 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 17%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Chemical Engineering 1 8%
Earth and Planetary Sciences 1 8%
Chemistry 1 8%
Other 0 0%
Unknown 6 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 September 2018.
All research outputs
#18,649,291
of 23,103,436 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,461
of 6,793 outputs
Outputs of similar age
#259,246
of 337,668 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#40
of 51 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,793 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 31st percentile – i.e., 31% 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 337,668 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.