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A mathematical model to guide antibiotic treatment strategies

Overview of attention for article published in BMC Medicine, August 2012
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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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
2 blogs
twitter
6 X users

Citations

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10 Dimensions

Readers on

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52 Mendeley
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Title
A mathematical model to guide antibiotic treatment strategies
Published in
BMC Medicine, August 2012
DOI 10.1186/1741-7015-10-90
Pubmed ID
Authors

Albert Sotto, Jean-Philippe Lavigne

Abstract

Over the past few decades, the emergence of multidrug resistance (MDR) to antibiotics in bacteria has led to major difficulties in the management of infected patients. At present, there is a serious lack of development of new antibacterial agents. Mathematical models are one approach to understand how antibiotic usage patterns may be optimized. However, the classical approach to modeling the emergence of MDR relies on the simplifying assumption that resistance is acquired at a constant rate. In their model, Obolski and Hadany introduce the notion of horizontal gene transfer and stress-induced mutation, with antibiotics constituting an environmental stressor of particular relevance. Finally, from this complex mathematical model, the authors propose predictions for minimizing MDR in bacteria depending on strategies of antibiotic treatment. Please see related article: http://www.biomedcentral.com/1741-7015/10/89.

X Demographics

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

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Portugal 1 2%
Ireland 1 2%
Unknown 48 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 10 19%
Student > Master 5 10%
Professor 4 8%
Student > Doctoral Student 3 6%
Other 11 21%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 19%
Medicine and Dentistry 8 15%
Biochemistry, Genetics and Molecular Biology 7 13%
Mathematics 6 12%
Computer Science 2 4%
Other 10 19%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 09 January 2014.
All research outputs
#1,918,170
of 22,673,450 outputs
Outputs from BMC Medicine
#1,293
of 3,397 outputs
Outputs of similar age
#12,740
of 167,391 outputs
Outputs of similar age from BMC Medicine
#16
of 48 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one has gotten more attention than average, scoring higher than 61% 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 167,391 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 48 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 66% of its contemporaries.