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Rapid molecular diagnosis of infective aortic valve endocarditis caused by Coxiella burnetii

Overview of attention for article published in Infection, June 2016
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Title
Rapid molecular diagnosis of infective aortic valve endocarditis caused by Coxiella burnetii
Published in
Infection, June 2016
DOI 10.1007/s15010-016-0916-9
Pubmed ID
Authors

Oliver Kumpf, Pascal Dohmen, Martin Ertmer, Fabian Knebel, Alexandra Wiessner, Judith Kikhney, Annette Moter, Sascha Treskatsch

Abstract

We describe a case of Q-fever endocarditis with severe destruction of the aortic valve with perivalvular abscess formation and cardiac failure. The patient needed urgent operative treatment and postoperative critical care. All specimens sent for microbiological examination were negative. Molecular analysis, including fluorescence in situ hybridization of aortic valve tissue combined with PCR and sequencing, led to the correct diagnosis and to appropriate anti-infective treatment. The patient subsequently recovered from complex cardiovascular surgery. This is the first report on Q-fever endocarditis that was rapidly diagnosed using these methods.

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The data shown below were collected from the profile of 1 X user 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 14%
Student > Ph. D. Student 4 14%
Lecturer 3 11%
Student > Doctoral Student 3 11%
Student > Bachelor 3 11%
Other 8 29%
Unknown 3 11%
Readers by discipline Count As %
Medicine and Dentistry 20 71%
Biochemistry, Genetics and Molecular Biology 2 7%
Agricultural and Biological Sciences 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 July 2016.
All research outputs
#18,466,238
of 22,881,154 outputs
Outputs from Infection
#1,109
of 1,403 outputs
Outputs of similar age
#267,580
of 352,793 outputs
Outputs of similar age from Infection
#11
of 16 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,403 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 352,793 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.