↓ Skip to main content

Smartphone-based Mental State Estimation: A Survey from a Machine Learning Perspective

Overview of attention for article published in Journal of Information Processing, January 2020
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#25 of 110)
  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
63 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Smartphone-based Mental State Estimation: A Survey from a Machine Learning Perspective
Published in
Journal of Information Processing, January 2020
DOI 10.2197/ipsjjip.28.16
Authors

Yusuke Fukazawa, Naoki Yamamoto, Takashi Hamatani, Keiichi Ochiai, Akira Uchiyama, Ken Ohta

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 13%
Student > Master 8 13%
Student > Bachelor 4 6%
Professor 4 6%
Student > Doctoral Student 4 6%
Other 9 14%
Unknown 26 41%
Readers by discipline Count As %
Computer Science 10 16%
Psychology 7 11%
Medicine and Dentistry 5 8%
Neuroscience 3 5%
Engineering 2 3%
Other 6 10%
Unknown 30 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 January 2020.
All research outputs
#8,814,350
of 26,320,509 outputs
Outputs from Journal of Information Processing
#25
of 110 outputs
Outputs of similar age
#179,551
of 483,954 outputs
Outputs of similar age from Journal of Information Processing
#3
of 4 outputs
Altmetric has tracked 26,320,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 110 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 76% 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 483,954 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 62% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.