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A simple mathematical model to determine the ideal empirical antibiotic therapy for bacteremic patients

Overview of attention for article published in Brazilian Journal of Infectious Diseases, March 2014
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1 X user

Citations

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Title
A simple mathematical model to determine the ideal empirical antibiotic therapy for bacteremic patients
Published in
Brazilian Journal of Infectious Diseases, March 2014
DOI 10.1016/j.bjid.2013.11.006
Pubmed ID
Authors

Felipe F. Tuon, Jaime L. Rocha, Talita M. Leite, Camila Dias

Abstract

Local epidemiological data are always helpful when choosing the best antibiotic regimen, but it is more complex than it seems as it may require the analysis of multiple combinations. The aim of this study was to demonstrate a simplified mathematical calculation to determine the most appropriate antibiotic combination in a scenario where monotherapy is doomed to failure.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Other 6 16%
Student > Ph. D. Student 5 14%
Student > Master 4 11%
Student > Bachelor 3 8%
Student > Postgraduate 3 8%
Other 10 27%
Unknown 6 16%
Readers by discipline Count As %
Medicine and Dentistry 14 38%
Pharmacology, Toxicology and Pharmaceutical Science 5 14%
Engineering 2 5%
Nursing and Health Professions 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 7 19%
Unknown 6 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 November 2014.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Brazilian Journal of Infectious Diseases
#645
of 809 outputs
Outputs of similar age
#206,406
of 236,356 outputs
Outputs of similar age from Brazilian Journal of Infectious Diseases
#11
of 14 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 809 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 236,356 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.