↓ Skip to main content

In vitro antimicrobial susceptibility testing methods: agar dilution to 3D tissue-engineered models

Overview of attention for article published in European Journal of Clinical Microbiology & Infectious Diseases, September 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

policy
1 policy source
twitter
4 X users
patent
1 patent

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
377 Mendeley
Title
In vitro antimicrobial susceptibility testing methods: agar dilution to 3D tissue-engineered models
Published in
European Journal of Clinical Microbiology & Infectious Diseases, September 2017
DOI 10.1007/s10096-017-3089-2
Pubmed ID
Authors

A. Schumacher, T. Vranken, A. Malhotra, J. J. C. Arts, P. Habibovic

Abstract

In the field of orthopaedic surgery, bacterial invasion of implants and the resulting periprosthetic infections are a common and unresolved problem. Antimicrobial susceptibility testing methods help to define the optimal treatment and identify antimicrobial resistance. This review discusses proven gold-standard techniques and recently developed models for antimicrobial susceptibility testing, while also providing a future outlook. Conventional, gold-standard methods, such as broth microdilution, are still widely applied in clinical settings. Although recently developed methods based on microfluidics and microdroplets have shown advantages over conventional methods in terms of testing speed, safety and the potential to provide a deeper insight into resistance mechanisms, extensive validation is required to translate this research to clinical practice. Recent optical and mechanical methods are complex and expensive and, therefore, not immediately clinically applicable. Novel osteoblast infection and tissue models best resemble infections in vivo. However, the integration of biomaterials into these models remains challenging and they require a long tissue culture, making their rapid clinical implementation unlikely. A method applicable for both clinical and research environments is difficult to realise. With a continuous increase in antimicrobial resistance, there is an urgent need for methods that analyse recurrent infections to identify the optimal treatment approaches. Graphical abstract Timeline of published and partly applied antimicrobial susceptibility testing methods, listed according to their underlying mechanism, complexity and application in research or clinics.

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

Geographical breakdown

Country Count As %
Unknown 377 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 67 18%
Student > Ph. D. Student 37 10%
Student > Master 37 10%
Researcher 23 6%
Lecturer 14 4%
Other 40 11%
Unknown 159 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 10%
Immunology and Microbiology 28 7%
Agricultural and Biological Sciences 27 7%
Pharmacology, Toxicology and Pharmaceutical Science 24 6%
Medicine and Dentistry 23 6%
Other 65 17%
Unknown 174 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 10 November 2022.
All research outputs
#3,133,351
of 23,072,295 outputs
Outputs from European Journal of Clinical Microbiology & Infectious Diseases
#239
of 2,798 outputs
Outputs of similar age
#59,262
of 315,803 outputs
Outputs of similar age from European Journal of Clinical Microbiology & Infectious Diseases
#5
of 49 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,798 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 91% 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 315,803 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 81% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.