The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Improving Inclusivity in Robotics Design: An Exploration of Methods for Upstream Co-Creation
|
---|---|
Published in |
Frontiers in Robotics and AI, June 2022
|
DOI | 10.3389/frobt.2022.731006 |
Pubmed ID | |
Authors |
Stevienna de Saille, Eva Kipnis, Stephen Potter, David Cameron, Calum J. R. Webb, Peter Winter, Peter O’Neill, Richard Gold, Kate Halliwell, Lyuba Alboul, Andy J. Bell, Andrew Stratton, Jon McNamara |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 40% |
Members of the public | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 13% |
Student > Bachelor | 5 | 13% |
Professor | 3 | 8% |
Student > Doctoral Student | 2 | 5% |
Lecturer | 1 | 3% |
Other | 4 | 11% |
Unknown | 18 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 5 | 13% |
Business, Management and Accounting | 4 | 11% |
Engineering | 2 | 5% |
Agricultural and Biological Sciences | 1 | 3% |
Computer Science | 1 | 3% |
Other | 5 | 13% |
Unknown | 20 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 June 2022.
All research outputs
#8,925,149
of 26,492,979 outputs
Outputs from Frontiers in Robotics and AI
#598
of 1,831 outputs
Outputs of similar age
#161,645
of 450,122 outputs
Outputs of similar age from Frontiers in Robotics and AI
#17
of 74 outputs
Altmetric has tracked 26,492,979 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,831 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has gotten more attention than average, scoring higher than 66% 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 450,122 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 63% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.