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A novel, multiplex, real-time PCR–based approach for the detection of the commonly occurring pathogenic fungi and bacteria

Overview of attention for article published in BMC Microbiology, January 2013
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
4 tweeters
patent
2 patents

Readers on

mendeley
64 Mendeley
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Title
A novel, multiplex, real-time PCR–based approach for the detection of the commonly occurring pathogenic fungi and bacteria
Published in
BMC Microbiology, January 2013
DOI 10.1186/1471-2180-13-300
Pubmed ID
Authors

Ádám Horváth, Zoltán Pető, Edit Urbán, Csaba Vágvölgyi, Ferenc Somogyvári

Abstract

Polymerase chain reaction (PCR)-based techniques are widely used to identify fungal and bacterial infections. There have been numerous reports of different, new, real-time PCR-based pathogen identification methods although the clinical practicability of such techniques is not yet fully clarified.The present study focuses on a novel, multiplex, real-time PCR-based pathogen identification system developed for rapid differentiation of the commonly occurring bacterial and fungal causative pathogens of bloodstream infections.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Australia 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 23%
Student > Ph. D. Student 13 20%
Student > Doctoral Student 7 11%
Student > Master 5 8%
Other 4 6%
Other 11 17%
Unknown 9 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 27%
Biochemistry, Genetics and Molecular Biology 15 23%
Medicine and Dentistry 10 16%
Immunology and Microbiology 3 5%
Engineering 2 3%
Other 5 8%
Unknown 12 19%

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 27 October 2016.
All research outputs
#1,788,639
of 9,539,534 outputs
Outputs from BMC Microbiology
#232
of 1,530 outputs
Outputs of similar age
#34,232
of 190,176 outputs
Outputs of similar age from BMC Microbiology
#6
of 50 outputs
Altmetric has tracked 9,539,534 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,530 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 84% 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 190,176 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 81% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.