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An Effective Translation: The Development of Hyaluronan-Based Medical Products From the Physicochemical, and Preclinical Aspects

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, May 2018
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  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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6 X users

Citations

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57 Dimensions

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89 Mendeley
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Title
An Effective Translation: The Development of Hyaluronan-Based Medical Products From the Physicochemical, and Preclinical Aspects
Published in
Frontiers in Bioengineering and Biotechnology, May 2018
DOI 10.3389/fbioe.2018.00062
Pubmed ID
Authors

Gloria Huerta-Ángeles, Kristina Nešporová, Gabriela Ambrožová, Lukas Kubala, Vladimir Velebný

Abstract

This review shows the steps toward material selection focalized on the design and development of medical devices based on hyaluronan (HA). The selection is based on chemical and mechanical properties, biocompatibility, sterilization, safety, and scale-up costs. These facts play a vital role in the industrialization process. Approved medical devices containing-HA are illustrated to identify key parameters. The first part of this work involves the steps toward a complete characterization of chemical and mechanical aspects, reproducibility of the processes and scale up. In a second stage, we aimed to describe the preclinical in vitro and in vivo assays and selected examples of clinical trials. Furthermore, it is important to keep in mind the regulatory affairs during the research and development (R&D) using standardization (ISO standards) to achieve the main goal, which is the functionality and safety of the final device. To keep reproducible experimental data to prepare an efficient master file for the device, based on quality and recorded manufacturing data, and a rigorous R&D process may help toward clinical translation. A strong debate is still going on because the denominated basic research in HA field does not pay attention to the purity and quality of the raw materials used during the development. So that, to achieve the next generation of devices is needed to overcome the limitations of state of art in terms of efficacy, biodegradability, and non-toxicity.

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

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Researcher 12 13%
Student > Bachelor 8 9%
Student > Master 7 8%
Other 6 7%
Other 8 9%
Unknown 30 34%
Readers by discipline Count As %
Engineering 12 13%
Chemistry 8 9%
Medicine and Dentistry 8 9%
Biochemistry, Genetics and Molecular Biology 7 8%
Pharmacology, Toxicology and Pharmaceutical Science 6 7%
Other 11 12%
Unknown 37 42%
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 06 May 2019.
All research outputs
#7,220,978
of 23,056,273 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,157
of 6,749 outputs
Outputs of similar age
#124,319
of 328,263 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#24
of 55 outputs
Altmetric has tracked 23,056,273 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 6,749 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 82% 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 328,263 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 61% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.