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Quantitative data from the SeptiFast real-time PCR is associated with disease severity in patients with sepsis

Overview of attention for article published in BMC Infectious Diseases, March 2014
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

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26 Dimensions

Readers on

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65 Mendeley
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Title
Quantitative data from the SeptiFast real-time PCR is associated with disease severity in patients with sepsis
Published in
BMC Infectious Diseases, March 2014
DOI 10.1186/1471-2334-14-155
Pubmed ID
Authors

Ingrid Ziegler, Per Josefson, Per Olcén, Paula Mölling, Kristoffer Strålin

Abstract

The commercial test, SeptiFast, is designed to detect DNA from bacterial and fungal pathogens in whole blood. The method has been found to be specific with a high rule-in value for the early detection of septic patients. The software automatically provides information about the identified pathogen, without quantification of the pathogen. However, it is possible to manually derive Crossing point (Cp) values, i.e. the PCR cycle at which DNA is significantly amplified. The aim of this study was to find out whether Cp values correlate to disease severity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 17%
Researcher 9 14%
Student > Ph. D. Student 9 14%
Other 5 8%
Student > Postgraduate 4 6%
Other 7 11%
Unknown 20 31%
Readers by discipline Count As %
Medicine and Dentistry 14 22%
Biochemistry, Genetics and Molecular Biology 11 17%
Engineering 5 8%
Agricultural and Biological Sciences 4 6%
Computer Science 2 3%
Other 8 12%
Unknown 21 32%
Attention Score in Context

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 11 December 2018.
All research outputs
#3,525,401
of 22,749,166 outputs
Outputs from BMC Infectious Diseases
#1,110
of 7,665 outputs
Outputs of similar age
#35,552
of 223,393 outputs
Outputs of similar age from BMC Infectious Diseases
#24
of 149 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. Compared to these this one has done well and is in the 84th 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 85% 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 223,393 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 84% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.