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Characterization and prediction of the mechanism of action of antibiotics through NMR metabolomics

Overview of attention for article published in BMC Microbiology, May 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Citations

dimensions_citation
93 Dimensions

Readers on

mendeley
204 Mendeley
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Title
Characterization and prediction of the mechanism of action of antibiotics through NMR metabolomics
Published in
BMC Microbiology, May 2016
DOI 10.1186/s12866-016-0696-5
Pubmed ID
Authors

Verena Hoerr, Gavin E. Duggan, Lori Zbytnuik, Karen K. H. Poon, Christina Große, Ute Neugebauer, Karen Methling, Bettina Löffler, Hans J. Vogel

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

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 203 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 17%
Student > Bachelor 30 15%
Student > Master 22 11%
Researcher 18 9%
Student > Doctoral Student 11 5%
Other 27 13%
Unknown 61 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 18%
Agricultural and Biological Sciences 30 15%
Chemistry 25 12%
Immunology and Microbiology 16 8%
Medicine and Dentistry 8 4%
Other 25 12%
Unknown 63 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 May 2021.
All research outputs
#7,304,457
of 26,017,215 outputs
Outputs from BMC Microbiology
#774
of 3,544 outputs
Outputs of similar age
#98,292
of 323,023 outputs
Outputs of similar age from BMC Microbiology
#17
of 65 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,544 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 77% of its peers.
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 323,023 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 65 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 73% of its contemporaries.