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Machine Learning Approach for Candida albicans Fluconazole Resistance Detection Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

Overview of attention for article published in Frontiers in Microbiology, January 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Citations

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31 Dimensions

Readers on

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43 Mendeley
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Title
Machine Learning Approach for Candida albicans Fluconazole Resistance Detection Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry
Published in
Frontiers in Microbiology, January 2020
DOI 10.3389/fmicb.2019.03000
Pubmed ID
Authors

Margot Delavy, Lorenzo Cerutti, Antony Croxatto, Guy Prod’hom, Dominique Sanglard, Gilbert Greub, Alix T. Coste

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

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Student > Master 9 21%
Researcher 4 9%
Student > Bachelor 2 5%
Professor > Associate Professor 2 5%
Other 5 12%
Unknown 12 28%
Readers by discipline Count As %
Immunology and Microbiology 5 12%
Medicine and Dentistry 5 12%
Biochemistry, Genetics and Molecular Biology 4 9%
Computer Science 2 5%
Veterinary Science and Veterinary Medicine 2 5%
Other 10 23%
Unknown 15 35%
Attention Score in Context

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 04 February 2020.
All research outputs
#15,595,621
of 23,186,937 outputs
Outputs from Frontiers in Microbiology
#15,495
of 25,432 outputs
Outputs of similar age
#274,914
of 456,833 outputs
Outputs of similar age from Frontiers in Microbiology
#474
of 680 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,432 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 30th percentile – i.e., 30% 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 456,833 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 680 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.