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Machine learning-based impedance system for real-time recognition of antibiotic-susceptible bacteria with parallel cytometry

Overview of attention for article published in Sensors & Actuators B: Chemical, January 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 6,646)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
11 news outlets
blogs
3 blogs

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Machine learning-based impedance system for real-time recognition of antibiotic-susceptible bacteria with parallel cytometry
Published in
Sensors & Actuators B: Chemical, January 2023
DOI 10.1016/j.snb.2022.132698
Authors

Tao Tang, Xun Liu, Yapeng Yuan, Ryota Kiya, Tianlong Zhang, Yang Yang, Shiro Suetsugu, Yoichi Yamazaki, Nobutoshi Ota, Koki Yamamoto, Hironari Kamikubo, Yo Tanaka, Ming Li, Yoichiroh Hosokawa, Yaxiaer Yalikun

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Student > Master 2 8%
Researcher 2 8%
Student > Bachelor 1 4%
Lecturer 1 4%
Other 1 4%
Unknown 12 50%
Readers by discipline Count As %
Engineering 5 21%
Chemical Engineering 2 8%
Agricultural and Biological Sciences 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Materials Science 1 4%
Other 1 4%
Unknown 13 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 92. 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 20 November 2022.
All research outputs
#462,431
of 25,392,582 outputs
Outputs from Sensors & Actuators B: Chemical
#14
of 6,646 outputs
Outputs of similar age
#10,820
of 475,273 outputs
Outputs of similar age from Sensors & Actuators B: Chemical
#1
of 57 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,646 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 475,273 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.