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Feature selection for driving fatigue characterization and detection using visual- and signal-based sensors

Overview of attention for article published in Applied Informatics, November 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
21 Mendeley
Title
Feature selection for driving fatigue characterization and detection using visual- and signal-based sensors
Published in
Applied Informatics, November 2018
DOI 10.1186/s40535-018-0054-9
Authors

Khadidja Henni, Neila Mezghani, Charles Gouin-Vallerand, Perrine Ruer, Youssef Ouakrim, Évelyne Vallières

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 24%
Student > Master 2 10%
Student > Postgraduate 2 10%
Student > Doctoral Student 1 5%
Lecturer 1 5%
Other 4 19%
Unknown 6 29%
Readers by discipline Count As %
Computer Science 7 33%
Engineering 6 29%
Agricultural and Biological Sciences 1 5%
Nursing and Health Professions 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 4 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 April 2019.
All research outputs
#8,519,892
of 14,708,827 outputs
Outputs from Applied Informatics
#3
of 8 outputs
Outputs of similar age
#139,663
of 265,653 outputs
Outputs of similar age from Applied Informatics
#1
of 1 outputs
Altmetric has tracked 14,708,827 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 5 of them.
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 265,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them