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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Becoming Team Members: Identifying Interaction Patterns of Mutual Adaptation for Human-Robot Co-Learning
|
|---|---|
| Published in |
Frontiers in Robotics and AI, July 2021
|
| DOI | 10.3389/frobt.2021.692811 |
| Pubmed ID | |
| Authors |
Emma M. van Zoelen, Karel van den Bosch, Mark Neerincx |
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 % |
|---|---|---|
| Australia | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 22% |
| Student > Ph. D. Student | 7 | 19% |
| Lecturer | 5 | 14% |
| Student > Master | 3 | 8% |
| Professor | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 27% |
| Engineering | 9 | 24% |
| Unspecified | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Decision Sciences | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 October 2022.
All research outputs
#13,043,263
of 22,979,862 outputs
Outputs from Frontiers in Robotics and AI
#595
of 1,507 outputs
Outputs of similar age
#180,189
of 437,542 outputs
Outputs of similar age from Frontiers in Robotics and AI
#51
of 128 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has gotten more attention than average, scoring higher than 58% 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 437,542 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 128 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 59% of its contemporaries.