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Use of an automated blood culture system (BD BACTEC™) for diagnosis of prosthetic joint infections: easy and fast

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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1 policy source
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4 X users

Citations

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89 Dimensions

Readers on

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109 Mendeley
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Title
Use of an automated blood culture system (BD BACTEC™) for diagnosis of prosthetic joint infections: easy and fast
Published in
BMC Infectious Diseases, May 2014
DOI 10.1186/1471-2334-14-233
Pubmed ID
Authors

Angela M Minassian, Robert Newnham, Elizabeth Kalimeris, Philip Bejon, Bridget L Atkins, Ian CJW Bowler

Abstract

For the diagnosis of prosthetic joint infection (PJI) automated BACTEC™ blood culture bottle methods have comparable sensitivity, specificity and a shorter time to positivity than traditional cooked meat enrichment broth methods. We evaluate the culture incubation period required to maximise sensitivity and specificity of microbiological diagnosis, and the ability of BACTEC™ to detect slow growing Propionibacteria spp.

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

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 13%
Researcher 14 13%
Student > Master 9 8%
Professor > Associate Professor 7 6%
Student > Bachelor 7 6%
Other 24 22%
Unknown 34 31%
Readers by discipline Count As %
Medicine and Dentistry 37 34%
Immunology and Microbiology 11 10%
Biochemistry, Genetics and Molecular Biology 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Nursing and Health Professions 2 2%
Other 10 9%
Unknown 42 39%
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 01 February 2019.
All research outputs
#5,591,122
of 22,756,196 outputs
Outputs from BMC Infectious Diseases
#1,658
of 7,665 outputs
Outputs of similar age
#52,488
of 227,583 outputs
Outputs of similar age from BMC Infectious Diseases
#37
of 164 outputs
Altmetric has tracked 22,756,196 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 7,665 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 78% 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 227,583 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 76% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.