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Independent Component Analysis in Spiking Neurons

Overview of attention for article published in PLoS Computational Biology, April 2010
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Mentioned by

patent
1 patent

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
216 Mendeley
citeulike
7 CiteULike
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Title
Independent Component Analysis in Spiking Neurons
Published in
PLoS Computational Biology, April 2010
DOI 10.1371/journal.pcbi.1000757
Pubmed ID
Authors

Cristina Savin, Prashant Joshi, Jochen Triesch

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 12 6%
United States 9 4%
Switzerland 4 2%
United Kingdom 4 2%
France 2 <1%
Canada 2 <1%
Australia 2 <1%
Finland 2 <1%
Sweden 1 <1%
Other 5 2%
Unknown 173 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 33%
Researcher 59 27%
Student > Master 20 9%
Professor 13 6%
Student > Bachelor 12 6%
Other 28 13%
Unknown 12 6%
Readers by discipline Count As %
Computer Science 61 28%
Agricultural and Biological Sciences 40 19%
Neuroscience 40 19%
Engineering 25 12%
Physics and Astronomy 13 6%
Other 23 11%
Unknown 14 6%
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 10 December 2015.
All research outputs
#8,533,995
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#5,636
of 8,958 outputs
Outputs of similar age
#38,130
of 103,751 outputs
Outputs of similar age from PLoS Computational Biology
#31
of 50 outputs
Altmetric has tracked 25,371,288 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 8,958 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 103,751 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.