↓ Skip to main content

A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data

Overview of attention for article published in Sensors, April 2019
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
3 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
154 Dimensions

Readers on

mendeley
251 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
A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data
Published in
Sensors, April 2019
DOI 10.3390/s19081863
Pubmed ID
Authors

Najmeh Samadiani, Guangyan Huang, Borui Cai, Wei Luo, Chi-Hung Chi, Yong Xiang, Jing He

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 251 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 13%
Student > Master 26 10%
Student > Bachelor 23 9%
Researcher 17 7%
Unspecified 12 5%
Other 36 14%
Unknown 104 41%
Readers by discipline Count As %
Computer Science 66 26%
Engineering 31 12%
Unspecified 12 5%
Medicine and Dentistry 7 3%
Neuroscience 6 2%
Other 19 8%
Unknown 110 44%
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 07 April 2022.
All research outputs
#8,598,057
of 26,329,759 outputs
Outputs from Sensors
#4,756
of 27,648 outputs
Outputs of similar age
#145,939
of 367,148 outputs
Outputs of similar age from Sensors
#126
of 686 outputs
Altmetric has tracked 26,329,759 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 27,648 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 80% 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 367,148 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 59% of its contemporaries.
We're also able to compare this research output to 686 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.