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Optimal Learning Rules for Discrete Synapses

Overview of attention for article published in PLoS Computational Biology, November 2008
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Mentioned by

patent
2 patents

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
91 Mendeley
citeulike
5 CiteULike
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Title
Optimal Learning Rules for Discrete Synapses
Published in
PLoS Computational Biology, November 2008
DOI 10.1371/journal.pcbi.1000230
Pubmed ID
Authors

Adam B. Barrett, M. C. W. van Rossum

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 8%
France 3 3%
United States 3 3%
Switzerland 2 2%
Germany 2 2%
Sweden 1 1%
Israel 1 1%
Netherlands 1 1%
Unknown 71 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 31%
Student > Ph. D. Student 25 27%
Professor 10 11%
Student > Doctoral Student 4 4%
Professor > Associate Professor 4 4%
Other 12 13%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 34%
Neuroscience 18 20%
Computer Science 10 11%
Psychology 6 7%
Physics and Astronomy 6 7%
Other 10 11%
Unknown 10 11%
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 08 September 2015.
All research outputs
#8,544,090
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#5,639
of 8,964 outputs
Outputs of similar age
#51,585
of 179,484 outputs
Outputs of similar age from PLoS Computational Biology
#25
of 40 outputs
Altmetric has tracked 25,394,764 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 8,964 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 179,484 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.