| Title |
A Survey of Autonomous Human Affect Detection Methods for Social Robots Engaged in Natural HRI
|
|---|---|
| Published in |
Journal of Intelligent & Robotic Systems, August 2015
|
| DOI | 10.1007/s10846-015-0259-2 |
| Authors |
Derek McColl, Alexander Hong, Naoaki Hatakeyama, Goldie Nejat, Beno Benhabib |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Canada | 1 | 33% |
| Germany | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| Portugal | 1 | <1% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 207 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 23% |
| Student > Master | 42 | 20% |
| Student > Doctoral Student | 20 | 9% |
| Researcher | 18 | 9% |
| Student > Bachelor | 16 | 8% |
| Other | 21 | 10% |
| Unknown | 46 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 58 | 27% |
| Computer Science | 56 | 27% |
| Psychology | 13 | 6% |
| Design | 8 | 4% |
| Business, Management and Accounting | 5 | 2% |
| Other | 18 | 9% |
| Unknown | 53 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 28 October 2021.
All research outputs
#3,952,042
of 23,867,274 outputs
Outputs from Journal of Intelligent & Robotic Systems
#30
of 375 outputs
Outputs of similar age
#49,537
of 269,880 outputs
Outputs of similar age from Journal of Intelligent & Robotic Systems
#2
of 5 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 375 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 92% 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 269,880 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.