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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 & Biotechnology, October 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Readers on

mendeley
1 Mendeley
Title
GC-IMS headspace analyses allow early recognition of bacterial growth and rapid pathogen differentiation in standard blood cultures
Published in
Applied Microbiology & 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

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 100%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 100%

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 01 November 2019.
All research outputs
#10,613,612
of 13,953,606 outputs
Outputs from Applied Microbiology & Biotechnology
#4,203
of 5,706 outputs
Outputs of similar age
#175,880
of 263,064 outputs
Outputs of similar age from Applied Microbiology & Biotechnology
#25
of 50 outputs
Altmetric has tracked 13,953,606 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,706 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 23rd percentile – i.e., 23% 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 263,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.