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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

twitter
1 tweeter
facebook
1 Facebook page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
12 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 33%
Student > Postgraduate 2 17%
Student > Ph. D. Student 2 17%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Other 2 17%
Readers by discipline Count As %
Medicine and Dentistry 4 33%
Biochemistry, Genetics and Molecular Biology 3 25%
Veterinary Science and Veterinary Medicine 2 17%
Immunology and Microbiology 1 8%
Chemistry 1 8%
Other 1 8%

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
#11,223,640
of 14,156,489 outputs
Outputs from BMC Microbiology
#1,453
of 2,133 outputs
Outputs of similar age
#195,462
of 264,717 outputs
Outputs of similar age from BMC Microbiology
#1
of 1 outputs
Altmetric has tracked 14,156,489 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 2,133 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 18th percentile – i.e., 18% 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 264,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them