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Predicting difficult airway intubation in thyroid surgery using multiple machine learning and deep learning algorithms

Overview of attention for article published in Frontiers in Public Health, August 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Predicting difficult airway intubation in thyroid surgery using multiple machine learning and deep learning algorithms
Published in
Frontiers in Public Health, August 2022
DOI 10.3389/fpubh.2022.937471
Pubmed ID
Authors

Cheng-Mao Zhou, Ying Wang, Qiong Xue, Jian-Jun Yang, Yu Zhu

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Other 2 11%
Lecturer > Senior Lecturer 1 5%
Librarian 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 10 53%
Readers by discipline Count As %
Medicine and Dentistry 7 37%
Mathematics 1 5%
Unspecified 1 5%
Unknown 10 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 25 March 2024.
All research outputs
#3,466,018
of 26,473,472 outputs
Outputs from Frontiers in Public Health
#1,689
of 14,996 outputs
Outputs of similar age
#69,537
of 438,778 outputs
Outputs of similar age from Frontiers in Public Health
#109
of 1,295 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 88% 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 438,778 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 1,295 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 91% of its contemporaries.