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X Demographics
Mendeley readers
Attention Score in Context
| Title |
LEADOR: A Method for End-To-End Participatory Design of Autonomous Social Robots
|
|---|---|
| Published in |
Frontiers in Robotics and AI, December 2021
|
| DOI | 10.3389/frobt.2021.704119 |
| Pubmed ID | |
| Authors |
Katie Winkle, Emmanuel Senft, Séverin Lemaignan |
X Demographics
The data shown below were collected from the profiles of 12 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 | 3 | 25% |
| Mexico | 1 | 8% |
| India | 1 | 8% |
| Colombia | 1 | 8% |
| Switzerland | 1 | 8% |
| Spain | 1 | 8% |
| Sweden | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 26% |
| Student > Master | 4 | 13% |
| Lecturer | 2 | 6% |
| Lecturer > Senior Lecturer | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 9 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 26% |
| Engineering | 4 | 13% |
| Social Sciences | 3 | 10% |
| Nursing and Health Professions | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 10 | 32% |
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 27 March 2023.
All research outputs
#4,594,607
of 24,493,053 outputs
Outputs from Frontiers in Robotics and AI
#300
of 1,652 outputs
Outputs of similar age
#105,993
of 510,860 outputs
Outputs of similar age from Frontiers in Robotics and AI
#19
of 97 outputs
Altmetric has tracked 24,493,053 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 1,652 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 81% 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 510,860 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 79% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.