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Application of MALDI-TOF MS to rapid identification of anaerobic bacteria

Overview of attention for article published in BMC Infectious Diseases, November 2019
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About this Attention Score

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

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
54 Mendeley
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Title
Application of MALDI-TOF MS to rapid identification of anaerobic bacteria
Published in
BMC Infectious Diseases, November 2019
DOI 10.1186/s12879-019-4584-0
Pubmed ID
Authors

Ying Li, Mingzhu Shan, Zuobin Zhu, Xuhua Mao, Mingju Yan, Ying Chen, Qiuju Zhu, Hongchun Li, Bing Gu

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

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 30%
Student > Ph. D. Student 9 17%
Student > Doctoral Student 5 9%
Student > Bachelor 5 9%
Researcher 4 7%
Other 6 11%
Unknown 9 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 24%
Agricultural and Biological Sciences 10 19%
Immunology and Microbiology 6 11%
Medicine and Dentistry 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 10 19%
Unknown 9 17%

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 12 December 2020.
All research outputs
#11,651,533
of 17,932,315 outputs
Outputs from BMC Infectious Diseases
#3,512
of 6,328 outputs
Outputs of similar age
#252,642
of 415,065 outputs
Outputs of similar age from BMC Infectious Diseases
#244
of 588 outputs
Altmetric has tracked 17,932,315 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,328 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 35th percentile – i.e., 35% 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 415,065 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 588 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.