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Trimodal Race Model Inequalities in Multisensory Integration: I. Basics

Overview of attention for article published in Frontiers in Psychology, July 2017
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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7 X users

Citations

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5 Dimensions

Readers on

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11 Mendeley
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Title
Trimodal Race Model Inequalities in Multisensory Integration: I. Basics
Published in
Frontiers in Psychology, July 2017
DOI 10.3389/fpsyg.2017.01141
Pubmed ID
Authors

Hans Colonius, Felix Hermann Wolff, Adele Diederich

Abstract

The race model inequality has become an important testing tool for the analysis of redundant signals tasks. In crossmodal reaction time experiments, the strength of violation of the inequality is taken as measure of multisensory integration occurring beyond probability summation. Here we extend previous results on trimodal race model inequalities and specify the underlying context invariance assumptions required for their validity. Some simulation results comparing the race model and the superposition model for Erlang distributed random variables illustrate the trimodal inequalities.

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Student > Ph. D. Student 2 18%
Unspecified 1 9%
Professor 1 9%
Student > Doctoral Student 1 9%
Other 2 18%
Unknown 2 18%
Readers by discipline Count As %
Psychology 4 36%
Arts and Humanities 1 9%
Mathematics 1 9%
Unspecified 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 July 2017.
All research outputs
#7,002,244
of 23,577,654 outputs
Outputs from Frontiers in Psychology
#9,981
of 31,442 outputs
Outputs of similar age
#107,028
of 313,595 outputs
Outputs of similar age from Frontiers in Psychology
#251
of 583 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 31,442 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 67% 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 313,595 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 65% of its contemporaries.
We're also able to compare this research output to 583 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.