↓ Skip to main content

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
Altmetric Badge

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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
3 tweeters
patent
3 patents

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
71 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 3 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Australia 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 14 20%
Student > Doctoral Student 8 11%
Student > Master 5 7%
Other 4 6%
Other 10 14%
Unknown 13 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 24%
Agricultural and Biological Sciences 17 24%
Medicine and Dentistry 10 14%
Immunology and Microbiology 4 6%
Engineering 2 3%
Other 6 8%
Unknown 15 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 16 August 2022.
All research outputs
#3,639,494
of 22,464,753 outputs
Outputs from BMC Microbiology
#347
of 3,142 outputs
Outputs of similar age
#42,826
of 297,521 outputs
Outputs of similar age from BMC Microbiology
#16
of 177 outputs
Altmetric has tracked 22,464,753 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,142 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 88% 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 297,521 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 85% of its contemporaries.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.