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Machine learning-based classification analysis of knowledge worker mental stress

Overview of attention for article published in Frontiers in Public Health, November 2023
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1 X user

Readers on

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8 Mendeley
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Title
Machine learning-based classification analysis of knowledge worker mental stress
Published in
Frontiers in Public Health, November 2023
DOI 10.3389/fpubh.2023.1302794
Pubmed ID
Authors

Hyunsuk Kim, Minjung Kim, Kyounghyun Park, Jungsook Kim, Daesub Yoon, Woojin Kim, Cheong Hee Park

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 25%
Student > Bachelor 2 25%
Student > Ph. D. Student 1 13%
Unknown 3 38%
Readers by discipline Count As %
Unspecified 2 25%
Computer Science 1 13%
Medicine and Dentistry 1 13%
Engineering 1 13%
Unknown 3 38%
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 07 November 2023.
All research outputs
#22,195,694
of 24,764,450 outputs
Outputs from Frontiers in Public Health
#9,261
of 13,054 outputs
Outputs of similar age
#132,231
of 167,344 outputs
Outputs of similar age from Frontiers in Public Health
#152
of 376 outputs
Altmetric has tracked 24,764,450 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,054 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% 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 167,344 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 376 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.