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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simulation-Based Internal Models for Safer Robots
|
|---|---|
| Published in |
Frontiers in Robotics and AI, January 2018
|
| DOI | 10.3389/frobt.2017.00074 |
| Authors |
Christian Blum, Alan F. T. Winfield, Verena V. Hafner |
X Demographics
The data shown below were collected from the profiles of 16 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 | 5 | 31% |
| Germany | 3 | 19% |
| United States | 2 | 13% |
| Sweden | 1 | 6% |
| Canada | 1 | 6% |
| Switzerland | 1 | 6% |
| France | 1 | 6% |
| Italy | 1 | 6% |
| Unknown | 1 | 6% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Scientists | 4 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Researcher | 8 | 16% |
| Student > Bachelor | 3 | 6% |
| Other | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 15 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 29% |
| Engineering | 9 | 18% |
| Medicine and Dentistry | 2 | 4% |
| Neuroscience | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 15 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 December 2018.
All research outputs
#1,213,853
of 25,621,213 outputs
Outputs from Frontiers in Robotics and AI
#84
of 1,786 outputs
Outputs of similar age
#27,762
of 452,586 outputs
Outputs of similar age from Frontiers in Robotics and AI
#3
of 28 outputs
Altmetric has tracked 25,621,213 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,786 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done particularly well, scoring higher than 95% 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 452,586 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 93% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.