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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Morphological Evolution: Bioinspired Methods for Analyzing Bioinspired Robots
|
|---|---|
| Published in |
Frontiers in Robotics and AI, January 2022
|
| DOI | 10.3389/frobt.2021.717214 |
| Pubmed ID | |
| Authors |
Eric Aaron, Joshua Hawthorne-Madell, Ken Livingston, John H. Long |
X Demographics
The data shown below were collected from the profiles of 10 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 | 5 | 50% |
| United Kingdom | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 33% |
| Student > Ph. D. Student | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 33% |
| Physics and Astronomy | 1 | 33% |
| Unknown | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 16 January 2022.
All research outputs
#5,957,894
of 24,542,484 outputs
Outputs from Frontiers in Robotics and AI
#335
of 1,655 outputs
Outputs of similar age
#125,886
of 514,918 outputs
Outputs of similar age from Frontiers in Robotics and AI
#21
of 95 outputs
Altmetric has tracked 24,542,484 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,655 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 79% 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 514,918 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 75% of its contemporaries.
We're also able to compare this research output to 95 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.