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Spike sorting of heterogeneous neuron types by multimodality-weighted PCA and explicit robust variational Bayes

Overview of attention for article published in Frontiers in Neuroinformatics, January 2012
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Readers on

mendeley
140 Mendeley
citeulike
1 CiteULike
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Title
Spike sorting of heterogeneous neuron types by multimodality-weighted PCA and explicit robust variational Bayes
Published in
Frontiers in Neuroinformatics, January 2012
DOI 10.3389/fninf.2012.00005
Pubmed ID
Authors

Takashi Takekawa, Yoshikazu Isomura, Tomoki Fukai

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 5%
Japan 6 4%
Italy 2 1%
Germany 1 <1%
France 1 <1%
Colombia 1 <1%
Ireland 1 <1%
Brazil 1 <1%
Unknown 120 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 25%
Researcher 33 24%
Student > Master 19 14%
Professor > Associate Professor 11 8%
Student > Bachelor 10 7%
Other 25 18%
Unknown 7 5%
Readers by discipline Count As %
Neuroscience 35 25%
Agricultural and Biological Sciences 35 25%
Engineering 28 20%
Computer Science 10 7%
Physics and Astronomy 7 5%
Other 13 9%
Unknown 12 9%
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 23 June 2013.
All research outputs
#13,070,184
of 23,573,357 outputs
Outputs from Frontiers in Neuroinformatics
#393
of 775 outputs
Outputs of similar age
#144,880
of 247,793 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#12
of 24 outputs
Altmetric has tracked 23,573,357 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 775 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 48th percentile – i.e., 48% 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 247,793 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.