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Antimicrobial co-resistance patterns of gram-negative bacilli isolated from bloodstream infections: a longitudinal epidemiological study from 2002–2011

Overview of attention for article published in BMC Infectious Diseases, October 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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6 X users

Citations

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25 Dimensions

Readers on

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74 Mendeley
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Title
Antimicrobial co-resistance patterns of gram-negative bacilli isolated from bloodstream infections: a longitudinal epidemiological study from 2002–2011
Published in
BMC Infectious Diseases, October 2014
DOI 10.1186/1471-2334-14-393
Pubmed ID
Authors

Patrick HP Wong, Marcus von Krosigk, Diane L Roscoe, Tim TY Lau, Masoud Yousefi, William R Bowie

Abstract

Increasing multidrug resistance in gram-negative bacilli (GNB) infections poses a serious threat to public health. Few studies have analyzed co-resistance rates, defined as an antimicrobial susceptibility profile in a subset already resistant to one specific antibiotic. The epidemiologic and clinical utility of determining co-resistance rates are analyzed and discussed.

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

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Researcher 7 9%
Student > Bachelor 7 9%
Student > Postgraduate 6 8%
Student > Doctoral Student 5 7%
Other 13 18%
Unknown 20 27%
Readers by discipline Count As %
Medicine and Dentistry 16 22%
Agricultural and Biological Sciences 10 14%
Immunology and Microbiology 7 9%
Environmental Science 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 12 16%
Unknown 22 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 May 2015.
All research outputs
#7,911,247
of 24,503,376 outputs
Outputs from BMC Infectious Diseases
#2,643
of 8,191 outputs
Outputs of similar age
#82,337
of 261,576 outputs
Outputs of similar age from BMC Infectious Diseases
#48
of 167 outputs
Altmetric has tracked 24,503,376 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,191 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 66% 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 261,576 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 67% of its contemporaries.
We're also able to compare this research output to 167 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 70% of its contemporaries.