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Mendeley readers
Attention Score in Context
| Title |
Reinforcement Learning on Slow Features of High-Dimensional Input Streams
|
|---|---|
| Published in |
PLoS Computational Biology, August 2010
|
| DOI | 10.1371/journal.pcbi.1000894 |
| Pubmed ID | |
| Authors |
Robert Legenstein, Niko Wilbert, Laurenz Wiskott |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 3% |
| Japan | 3 | 2% |
| United States | 3 | 2% |
| France | 2 | 1% |
| Germany | 2 | 1% |
| Finland | 1 | <1% |
| Canada | 1 | <1% |
| Belgium | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 134 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 27% |
| Researcher | 36 | 23% |
| Student > Master | 33 | 21% |
| Student > Postgraduate | 7 | 4% |
| Student > Doctoral Student | 6 | 4% |
| Other | 16 | 10% |
| Unknown | 16 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 66 | 42% |
| Agricultural and Biological Sciences | 22 | 14% |
| Engineering | 19 | 12% |
| Psychology | 8 | 5% |
| Neuroscience | 8 | 5% |
| Other | 15 | 10% |
| Unknown | 19 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 March 2024.
All research outputs
#8,616,072
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#5,665
of 9,003 outputs
Outputs of similar age
#38,343
of 104,652 outputs
Outputs of similar age from PLoS Computational Biology
#32
of 60 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
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 is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 104,652 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.