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Attention Score in Context
Title |
Quantitative data from the SeptiFast real-time PCR is associated with disease severity in patients with sepsis
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Published in |
BMC Infectious Diseases, March 2014
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
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
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.