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Assessment of Combination of Automated Pupillometry and Heart Rate Variability to Detect Driving Fatigue

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

  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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2 X users

Citations

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7 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Assessment of Combination of Automated Pupillometry and Heart Rate Variability to Detect Driving Fatigue
Published in
Frontiers in Public Health, February 2022
DOI 10.3389/fpubh.2022.828428
Pubmed ID
Authors

Lin Shi, Leilei Zheng, Danni Jin, Zheng Lin, Qiaoling Zhang, Mao Zhang

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 15%
Unspecified 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Researcher 1 8%
Other 1 8%
Unknown 6 46%
Readers by discipline Count As %
Unspecified 1 8%
Mathematics 1 8%
Agricultural and Biological Sciences 1 8%
Computer Science 1 8%
Physics and Astronomy 1 8%
Other 1 8%
Unknown 7 54%
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 22 June 2022.
All research outputs
#17,696,782
of 22,721,584 outputs
Outputs from Frontiers in Public Health
#4,853
of 9,707 outputs
Outputs of similar age
#297,670
of 436,613 outputs
Outputs of similar age from Frontiers in Public Health
#396
of 953 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,707 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 42nd percentile – i.e., 42% 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 436,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 953 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 51% of its contemporaries.