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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Toward an Attentive Robotic Architecture: Learning-Based Mutual Gaze Estimation in Human–Robot Interaction
|
|---|---|
| Published in |
Frontiers in Robotics and AI, March 2022
|
| DOI | 10.3389/frobt.2022.770165 |
| Pubmed ID | |
| Authors |
Maria Lombardi, Elisa Maiettini, Davide De Tommaso, Agnieszka Wykowska, Lorenzo Natale |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 3 | 30% |
| Switzerland | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 5 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 31% |
| Researcher | 3 | 23% |
| Professor | 1 | 8% |
| Unknown | 5 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 23% |
| Psychology | 1 | 8% |
| Neuroscience | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 7 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 17 April 2022.
All research outputs
#4,275,986
of 23,577,761 outputs
Outputs from Frontiers in Robotics and AI
#278
of 1,568 outputs
Outputs of similar age
#96,961
of 441,800 outputs
Outputs of similar age from Frontiers in Robotics and AI
#10
of 105 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,568 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done well, scoring higher than 82% 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 441,800 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 78% of its contemporaries.
We're also able to compare this research output to 105 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.