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Diagnosis by real-time polymerase chain reaction of pathogens and antimicrobial resistance genes in bone marrow transplant patients with bloodstream infections

Overview of attention for article published in BMC Infectious Diseases, April 2013
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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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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5 X users
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1 patent

Citations

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17 Dimensions

Readers on

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79 Mendeley
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Title
Diagnosis by real-time polymerase chain reaction of pathogens and antimicrobial resistance genes in bone marrow transplant patients with bloodstream infections
Published in
BMC Infectious Diseases, April 2013
DOI 10.1186/1471-2334-13-166
Pubmed ID
Authors

Liana Carballo Menezes, Talita Trevizani Rocchetti, Karen de Castro Bauab, Paola Cappellano, Milene Gonçalves Quiles, Fabianne Carlesse, Jose Salvador Rodrigues de Oliveira, Antonio Carlos Campos Pignatari

Abstract

Early identification of pathogens and antimicrobial resistance in bloodstream infections (BSIs) decreases morbidity and mortality, particularly in immunocompromised patients. The aim of the present study was to compare real-time polymerase chain reaction (PCR) with commercial kits for detection of 17 pathogens from blood culture (BC) and 10 antimicrobial resistance genes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 78 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Student > Ph. D. Student 12 15%
Researcher 11 14%
Student > Doctoral Student 9 11%
Student > Bachelor 9 11%
Other 11 14%
Unknown 14 18%
Readers by discipline Count As %
Medicine and Dentistry 20 25%
Agricultural and Biological Sciences 16 20%
Biochemistry, Genetics and Molecular Biology 10 13%
Veterinary Science and Veterinary Medicine 4 5%
Immunology and Microbiology 4 5%
Other 9 11%
Unknown 16 20%
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 12 November 2015.
All research outputs
#5,426,316
of 22,703,044 outputs
Outputs from BMC Infectious Diseases
#1,593
of 7,649 outputs
Outputs of similar age
#45,304
of 199,926 outputs
Outputs of similar age from BMC Infectious Diseases
#20
of 137 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,649 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 79% 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 199,926 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 77% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.