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Raman Imaging of Pathogenic Candida auris: Visualization of Structural Characteristics and Machine-Learning Identification

Overview of attention for article published in Frontiers in Microbiology, November 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Raman Imaging of Pathogenic Candida auris: Visualization of Structural Characteristics and Machine-Learning Identification
Published in
Frontiers in Microbiology, November 2021
DOI 10.3389/fmicb.2021.769597
Pubmed ID
Authors

Giuseppe Pezzotti, Miyuki Kobara, Tenma Asai, Tamaki Nakaya, Nao Miyamoto, Tetsuya Adachi, Toshiro Yamamoto, Narisato Kanamura, Eriko Ohgitani, Elia Marin, Wenliang Zhu, Ichiro Nishimura, Osam Mazda, Tetsuo Nakata, Koichi Makimura

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 12%
Student > Master 3 12%
Researcher 2 8%
Student > Ph. D. Student 2 8%
Professor 1 4%
Other 2 8%
Unknown 13 50%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Biochemistry, Genetics and Molecular Biology 2 8%
Immunology and Microbiology 2 8%
Medicine and Dentistry 2 8%
Physics and Astronomy 2 8%
Other 1 4%
Unknown 15 58%
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 11 December 2021.
All research outputs
#13,363,429
of 22,668,244 outputs
Outputs from Frontiers in Microbiology
#10,410
of 24,452 outputs
Outputs of similar age
#185,509
of 429,558 outputs
Outputs of similar age from Frontiers in Microbiology
#377
of 1,128 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,452 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 54% 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 429,558 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 54% of its contemporaries.
We're also able to compare this research output to 1,128 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 62% of its contemporaries.