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Spatio-Temporal Credit Assignment in Neuronal Population Learning

Overview of attention for article published in PLoS Computational Biology, June 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
143 Mendeley
citeulike
1 CiteULike
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Title
Spatio-Temporal Credit Assignment in Neuronal Population Learning
Published in
PLoS Computational Biology, June 2011
DOI 10.1371/journal.pcbi.1002092
Pubmed ID
Authors

Johannes Friedrich, Robert Urbanczik, Walter Senn

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 5 3%
United States 5 3%
United Kingdom 4 3%
Germany 3 2%
Netherlands 2 1%
Ireland 1 <1%
France 1 <1%
Hungary 1 <1%
New Zealand 1 <1%
Other 3 2%
Unknown 117 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 36%
Researcher 28 20%
Student > Master 18 13%
Student > Bachelor 8 6%
Professor 7 5%
Other 15 10%
Unknown 15 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 25%
Computer Science 35 24%
Neuroscience 18 13%
Psychology 13 9%
Engineering 9 6%
Other 15 10%
Unknown 17 12%
Attention Score in Context

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 03 December 2015.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#5,637
of 8,960 outputs
Outputs of similar age
#46,369
of 126,659 outputs
Outputs of similar age from PLoS Computational Biology
#38
of 65 outputs
Altmetric has tracked 25,374,647 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 8,960 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 126,659 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.