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Next-generation sequencing for hypothesis-free genomic detection of invasive tropical infections in poly-microbially contaminated, formalin-fixed, paraffin-embedded tissue samples – a proof-of-principl…

Overview of attention for article published in BMC Microbiology, April 2019
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Mentioned by

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1 X user
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1 Facebook page

Citations

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24 Dimensions

Readers on

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43 Mendeley
Title
Next-generation sequencing for hypothesis-free genomic detection of invasive tropical infections in poly-microbially contaminated, formalin-fixed, paraffin-embedded tissue samples – a proof-of-principle assessment
Published in
BMC Microbiology, April 2019
DOI 10.1186/s12866-019-1448-0
Pubmed ID
Authors

Hagen Frickmann, Carsten Künne, Ralf Matthias Hagen, Andreas Podbielski, Jana Normann, Sven Poppert, Mario Looso, Bernd Kreikemeyer

X Demographics

X Demographics

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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Researcher 7 16%
Student > Bachelor 4 9%
Student > Doctoral Student 3 7%
Student > Postgraduate 3 7%
Other 7 16%
Unknown 12 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 21%
Medicine and Dentistry 7 16%
Agricultural and Biological Sciences 3 7%
Veterinary Science and Veterinary Medicine 2 5%
Chemistry 2 5%
Other 7 16%
Unknown 13 30%
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 19 October 2019.
All research outputs
#18,676,383
of 23,140,503 outputs
Outputs from BMC Microbiology
#2,264
of 3,221 outputs
Outputs of similar age
#266,044
of 352,672 outputs
Outputs of similar age from BMC Microbiology
#42
of 55 outputs
Altmetric has tracked 23,140,503 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 3,221 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 15th percentile – i.e., 15% 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 352,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.