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Development of a High-Throughput ex-Vivo Burn Wound Model Using Porcine Skin, and Its Application to Evaluate New Approaches to Control Wound Infection

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, June 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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4 X users

Citations

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38 Dimensions

Readers on

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144 Mendeley
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Title
Development of a High-Throughput ex-Vivo Burn Wound Model Using Porcine Skin, and Its Application to Evaluate New Approaches to Control Wound Infection
Published in
Frontiers in Cellular and Infection Microbiology, June 2018
DOI 10.3389/fcimb.2018.00196
Pubmed ID
Authors

Diana R. Alves, Simon P. Booth, Paola Scavone, Pascale Schellenberger, Jonathan Salvage, Cinzia Dedi, Naing-Tun Thet, A. Toby A. Jenkins, Ryan Waters, Keng W. Ng, Andrew D. J. Overall, Anthony D. Metcalfe, Jonathan Nzakizwanayo, Brian V. Jones

Abstract

Biofilm formation in wounds is considered a major barrier to successful treatment, and has been associated with the transition of wounds to a chronic non-healing state. Here, we present a novel laboratory model of wound biofilm formation using ex-vivo porcine skin and a custom burn wound array device. The model supports high-throughput studies of biofilm formation and is compatible with a range of established methods for monitoring bacterial growth, biofilm formation, and gene expression. We demonstrate the use of this model by evaluating the potential for bacteriophage to control biofilm formation by Staphylococcus aureus, and for population density dependant expression of S. aureus virulence factors (regulated by the Accessory Gene Regulator, agr) to signal clinically relevant wound infection. Enumeration of colony forming units and metabolic activity using the XTT assay, confirmed growth of bacteria in wounds and showed a significant reduction in viable cells after phage treatment. Confocal laser scanning microscopy confirmed the growth of biofilms in wounds, and showed phage treatment could significantly reduce the formation of these communities. Evaluation of agr activity by qRT-PCR showed an increase in activity during growth in wound models for most strains. Activation of a prototype infection-responsive dressing designed to provide a visual signal of wound infection, was related to increased agr activity. In all assays, excellent reproducibility was observed between replicates using this model.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 15%
Researcher 18 13%
Student > Bachelor 17 12%
Student > Ph. D. Student 16 11%
Student > Doctoral Student 7 5%
Other 20 14%
Unknown 45 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 13%
Immunology and Microbiology 16 11%
Medicine and Dentistry 14 10%
Agricultural and Biological Sciences 13 9%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Other 20 14%
Unknown 56 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 July 2018.
All research outputs
#13,027,782
of 23,305,591 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#1,815
of 6,687 outputs
Outputs of similar age
#155,253
of 329,338 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#44
of 122 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,687 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 71% 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 329,338 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 52% of its contemporaries.
We're also able to compare this research output to 122 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 63% of its contemporaries.