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Geometrical methods for non-negative ICA: Manifolds, Lie groups and toral subalgebras

Overview of attention for article published in Neurocomputing, August 2005
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Article details
Title
Geometrical methods for non-negative ICA: Manifolds, Lie groups and toral subalgebras
Published in
Neurocomputing, August 2005
DOI 10.1016/j.neucom.2004.11.040
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 5%
Cuba 2 3%
Netherlands 1 1%
Italy 1 1%
United Kingdom 1 1%
China 1 1%
Unknown 63 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 26 36%
Researcher 10 14%
Professor 7 10%
Student > Master 6 8%
Professor > Associate Professor 6 8%
Other 12 16%
Unknown 6 8%
Readers by discipline
Readers by discipline Count As %
Computer Science 23 32%
Engineering 20 27%
Mathematics 8 11%
Agricultural and Biological Sciences 5 7%
Neuroscience 2 3%
Other 6 8%
Unknown 9 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 September 2015.
All research outputs
#17,847,395
of 27,774,969 outputs
Outputs from Neurocomputing
#1,598
of 3,290 outputs
Outputs of similar age
#68,597
of 76,404 outputs
Outputs of similar age from Neurocomputing
#4
of 4 outputs
Altmetric has tracked 27,774,969 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,290 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 50% 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 76,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.