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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail
|
|---|---|
| Published in |
PLoS Computational Biology, December 2009
|
| DOI | 10.1371/journal.pcbi.1000586 |
| Pubmed ID | |
| Authors |
Eleni Vasilaki, Nicolas Frémaux, Robert Urbanczik, Walter Senn, Wulfram Gerstner |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 11 | 4% |
| Switzerland | 8 | 3% |
| Germany | 7 | 3% |
| France | 4 | 2% |
| Canada | 4 | 2% |
| United States | 3 | 1% |
| Netherlands | 2 | <1% |
| Japan | 2 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 214 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 77 | 30% |
| Researcher | 53 | 21% |
| Student > Master | 35 | 14% |
| Professor | 14 | 5% |
| Professor > Associate Professor | 12 | 5% |
| Other | 31 | 12% |
| Unknown | 36 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 62 | 24% |
| Agricultural and Biological Sciences | 47 | 18% |
| Engineering | 33 | 13% |
| Neuroscience | 28 | 11% |
| Physics and Astronomy | 16 | 6% |
| Other | 30 | 12% |
| Unknown | 42 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 02 December 2019.
All research outputs
#4,668,140
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#3,725
of 9,003 outputs
Outputs of similar age
#24,967
of 177,909 outputs
Outputs of similar age from PLoS Computational Biology
#21
of 58 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 58% 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 177,909 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 85% of its contemporaries.
We're also able to compare this research output to 58 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 63% of its contemporaries.