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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 232 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 14% |
| Student > Master | 26 | 11% |
| Student > Bachelor | 21 | 9% |
| Researcher | 17 | 7% |
| Student > Doctoral Student | 9 | 4% |
| Other | 29 | 13% |
| Unknown | 98 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 65 | 28% |
| Engineering | 29 | 13% |
| Medicine and Dentistry | 7 | 3% |
| Neuroscience | 6 | 3% |
| Psychology | 5 | 2% |
| Other | 16 | 7% |
| Unknown | 104 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 13 May 2022.
All research outputs
#5,445,327
of 25,837,817 outputs
Outputs from Sensors
#2,326
of 24,818 outputs
Outputs of similar age
#103,703
of 365,384 outputs
Outputs of similar age from Sensors
#65
of 680 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,818 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 90% 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 365,384 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 71% of its contemporaries.
We're also able to compare this research output to 680 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.