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GC-IMS headspace analyses allow early recognition of bacterial growth and rapid pathogen differentiation in standard blood cultures

Overview of attention for article published in Applied Microbiology and Biotechnology, October 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
39 Mendeley
Title
GC-IMS headspace analyses allow early recognition of bacterial growth and rapid pathogen differentiation in standard blood cultures
Published in
Applied Microbiology and Biotechnology, October 2019
DOI 10.1007/s00253-019-10181-x
Pubmed ID
Authors

Carolin Drees, Wolfgang Vautz, Sascha Liedtke, Christopher Rosin, Kirsten Althoff, Martin Lippmann, Stefan Zimmermann, Tobias J. Legler, Duygu Yildiz, Thorsten Perl, Nils Kunze-Szikszay

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 13%
Student > Master 5 13%
Researcher 4 10%
Professor 3 8%
Student > Doctoral Student 3 8%
Other 3 8%
Unknown 16 41%
Readers by discipline Count As %
Chemistry 7 18%
Pharmacology, Toxicology and Pharmaceutical Science 4 10%
Medicine and Dentistry 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Environmental Science 2 5%
Other 3 8%
Unknown 18 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 November 2019.
All research outputs
#14,893,418
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#5,398
of 8,034 outputs
Outputs of similar age
#198,256
of 366,792 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#28
of 92 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 31st percentile – i.e., 31% 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 366,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.