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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Embodied Synaptic Plasticity With Online Reinforcement Learning
|
|---|---|
| Published in |
Frontiers in Neurorobotics, October 2019
|
| DOI | 10.3389/fnbot.2019.00081 |
| Pubmed ID | |
| Authors |
Jacques Kaiser, Michael Hoff, Andreas Konle, J. Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann |
X Demographics
The data shown below were collected from the profiles of 13 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 | 2 | 15% |
| Switzerland | 1 | 8% |
| Unknown | 10 | 77% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 85% |
| Scientists | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 23% |
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 8 | 14% |
| Student > Bachelor | 4 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 8 | 14% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 30% |
| Engineering | 9 | 16% |
| Neuroscience | 9 | 16% |
| Psychology | 4 | 7% |
| Social Sciences | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 11 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 04 March 2020.
All research outputs
#5,021,497
of 24,093,053 outputs
Outputs from Frontiers in Neurorobotics
#108
of 950 outputs
Outputs of similar age
#96,502
of 353,843 outputs
Outputs of similar age from Frontiers in Neurorobotics
#4
of 29 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 950 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 88% 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 353,843 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 72% of its contemporaries.
We're also able to compare this research output to 29 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.