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X Demographics
Mendeley readers
Attention Score in Context
| Title |
“Ick bin een Berlina”: dialect proficiency impacts a robot’s trustworthiness and competence evaluation
|
|---|---|
| Published in |
Frontiers in Robotics and AI, January 2024
|
| DOI | 10.3389/frobt.2023.1241519 |
| Pubmed ID | |
| Authors |
Katharina Kühne, Erika Herbold, Oliver Bendel, Yuefang Zhou, Martin H. Fischer |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 14% |
| India | 1 | 7% |
| United Kingdom | 1 | 7% |
| France | 1 | 7% |
| Ireland | 1 | 7% |
| Unknown | 8 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 2 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 20% |
| Student > Ph. D. Student | 2 | 13% |
| Student > Master | 1 | 7% |
| Unknown | 9 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 20% |
| Computer Science | 3 | 20% |
| Unknown | 9 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 174. 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 10 March 2024.
All research outputs
#241,241
of 26,106,015 outputs
Outputs from Frontiers in Robotics and AI
#23
of 1,805 outputs
Outputs of similar age
#3,586
of 366,623 outputs
Outputs of similar age from Frontiers in Robotics and AI
#2
of 62 outputs
Altmetric has tracked 26,106,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,805 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 particularly well, scoring higher than 98% 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 366,623 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 62 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 96% of its contemporaries.