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X Demographics
Mendeley readers
Attention Score in Context
| Title |
iCub-HRI: A Software Framework for Complex Human–Robot Interaction Scenarios on the iCub Humanoid Robot
|
|---|---|
| Published in |
Frontiers in Robotics and AI, March 2018
|
| DOI | 10.3389/frobt.2018.00022 |
| Pubmed ID | |
| Authors |
Tobias Fischer, Jordi-Ysard Puigbò, Daniel Camilleri, Phuong D. H. Nguyen, Clément Moulin-Frier, Stéphane Lallée, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Paul F. M. J. Verschure |
X Demographics
The data shown below were collected from the profiles of 17 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 Kingdom | 3 | 18% |
| Spain | 2 | 12% |
| Italy | 2 | 12% |
| United States | 2 | 12% |
| Netherlands | 1 | 6% |
| Switzerland | 1 | 6% |
| Germany | 1 | 6% |
| Brazil | 1 | 6% |
| Unknown | 4 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Scientists | 4 | 24% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 7 | 14% |
| Researcher | 6 | 12% |
| Professor | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 11 | 22% |
| Unknown | 11 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 34% |
| Engineering | 8 | 16% |
| Psychology | 3 | 6% |
| Social Sciences | 3 | 6% |
| Neuroscience | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 13 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 14 March 2018.
All research outputs
#2,769,755
of 24,226,848 outputs
Outputs from Frontiers in Robotics and AI
#173
of 1,620 outputs
Outputs of similar age
#57,096
of 336,658 outputs
Outputs of similar age from Frontiers in Robotics and AI
#13
of 43 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,620 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done well, scoring higher than 89% 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 336,658 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 83% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.