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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modularity and Sparsity: Evolution of Neural Net Controllers in Physically Embodied Robots
|
|---|---|
| Published in |
Frontiers in Robotics and AI, December 2016
|
| DOI | 10.3389/frobt.2016.00075 |
| Authors |
Nicholas Livingston, Anton Bernatskiy, Kenneth Livingston, Marc L. Smith, Jodi Schwarz, Joshua C. Bongard, David Wallach, John H. Long |
X Demographics
The data shown below were collected from the profiles of 20 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 | 7 | 35% |
| United Kingdom | 2 | 10% |
| Canada | 1 | 5% |
| Germany | 1 | 5% |
| Switzerland | 1 | 5% |
| Italy | 1 | 5% |
| Unknown | 7 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 65% |
| Scientists | 7 | 35% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 14% |
| Researcher | 2 | 14% |
| Student > Bachelor | 2 | 14% |
| Student > Doctoral Student | 1 | 7% |
| Professor | 1 | 7% |
| Other | 5 | 36% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 36% |
| Engineering | 5 | 36% |
| Physics and Astronomy | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Unknown | 2 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 06 January 2017.
All research outputs
#2,284,448
of 25,374,647 outputs
Outputs from Frontiers in Robotics and AI
#145
of 1,765 outputs
Outputs of similar age
#43,997
of 420,886 outputs
Outputs of similar age from Frontiers in Robotics and AI
#6
of 15 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,765 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done particularly well, scoring higher than 91% 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 420,886 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 89% of its contemporaries.
We're also able to compare this research output to 15 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 60% of its contemporaries.