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Functional two-way analysis of variance and bootstrap methods for neural synchrony analysis

Overview of attention for article published in BMC Neuroscience, August 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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7 X users

Citations

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3 Dimensions

Readers on

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16 Mendeley
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1 CiteULike
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Title
Functional two-way analysis of variance and bootstrap methods for neural synchrony analysis
Published in
BMC Neuroscience, August 2014
DOI 10.1186/1471-2202-15-96
Pubmed ID
Authors

Aldana M González Montoro, Ricardo Cao, Nelson Espinosa, Javier Cudeiro, Jorge Mariño

Abstract

Pairwise association between neurons is a key feature in understanding neural coding. Statistical neuroscience provides tools to estimate and assess these associations. In the mammalian brain, activating ascending pathways arise from neuronal nuclei located at the brainstem and at the basal forebrain that regulate the transition between sleep and awake neuronal firing modes in extensive regions of the cerebral cortex, including the primary visual cortex, where neurons are known to be selective for the orientation of a given stimulus. In this paper, the estimation of neural synchrony as a function of time is studied in data obtained from anesthetized cats. A functional data analysis of variance model is proposed. Bootstrap statistical tests are introduced in this context; they are useful tools for the study of differences in synchrony strength regarding 1) transition between different states (anesthesia and awake), and 2) affinity given by orientation selectivity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 25%
Student > Ph. D. Student 3 19%
Researcher 2 13%
Student > Doctoral Student 1 6%
Professor 1 6%
Other 1 6%
Unknown 4 25%
Readers by discipline Count As %
Medicine and Dentistry 3 19%
Neuroscience 2 13%
Computer Science 1 6%
Economics, Econometrics and Finance 1 6%
Physics and Astronomy 1 6%
Other 3 19%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 August 2014.
All research outputs
#6,725,655
of 24,702,628 outputs
Outputs from BMC Neuroscience
#299
of 1,273 outputs
Outputs of similar age
#59,827
of 236,339 outputs
Outputs of similar age from BMC Neuroscience
#7
of 34 outputs
Altmetric has tracked 24,702,628 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,273 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 76% 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 236,339 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.