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MALDI-TOF MS in microbiological diagnostics—identification of microorganisms and beyond (mini review)

Overview of attention for article published in Applied Microbiology and Biotechnology, December 2011
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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 (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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4 patents

Citations

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363 Dimensions

Readers on

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631 Mendeley
Title
MALDI-TOF MS in microbiological diagnostics—identification of microorganisms and beyond (mini review)
Published in
Applied Microbiology and Biotechnology, December 2011
DOI 10.1007/s00253-011-3783-4
Pubmed ID
Authors

Andreas Wieser, Lukas Schneider, Jette Jung, Sören Schubert

Abstract

Few developments in microbiological diagnostics have had such a rapid impact on species level identification of microorganisms as matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS). Conventional differentiation methods rely on biochemical criteria and require additional pre-testing and lengthy incubation procedures. In comparison, MALDI-TOF MS can identify bacteria and yeast within minutes directly from colonies grown on culture plates. This radically new, methodically simple approach profoundly reduces the cost of consumables and time spent on diagnostics. The reliability and accuracy of the method have been demonstrated in numerous studies and different systems are already commercially available. Novel applications of the system besides microbial species level identification are also being explored. This includes identification of pathogens from positive blood cultures or directly from patient samples, such as urine. Currently, intriguing MALDI-TOF MS developments are being made regarding the phenotypic detection of certain antibiotic resistance mechanisms, e.g., β-lactamases and carbapenemases. This mini review provides an overview of the literature in the field and also includes our own data and experiences gathered from over 4 years of routine MALDI-TOF MS use in a university hospital's microbiological diagnostics facility.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 631 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 <1%
United States 2 <1%
United Kingdom 2 <1%
Germany 1 <1%
Netherlands 1 <1%
Finland 1 <1%
Canada 1 <1%
Colombia 1 <1%
Belgium 1 <1%
Other 3 <1%
Unknown 615 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 120 19%
Researcher 94 15%
Student > Ph. D. Student 89 14%
Student > Master 84 13%
Student > Doctoral Student 35 6%
Other 83 13%
Unknown 126 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 138 22%
Biochemistry, Genetics and Molecular Biology 87 14%
Medicine and Dentistry 68 11%
Chemistry 47 7%
Immunology and Microbiology 42 7%
Other 106 17%
Unknown 143 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 December 2020.
All research outputs
#5,089,278
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#1,221
of 8,034 outputs
Outputs of similar age
#42,573
of 250,231 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#19
of 91 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 72% 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 250,231 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 80% of its contemporaries.
We're also able to compare this research output to 91 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 59% of its contemporaries.