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Cooperation and Competition with Hyperscanning Methods: Review and Future Application to Emotion Domain

Overview of attention for article published in Frontiers in Computational Neuroscience, September 2017
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

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3 X users
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1 Wikipedia page

Citations

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79 Dimensions

Readers on

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196 Mendeley
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Title
Cooperation and Competition with Hyperscanning Methods: Review and Future Application to Emotion Domain
Published in
Frontiers in Computational Neuroscience, September 2017
DOI 10.3389/fncom.2017.00086
Pubmed ID
Authors

Michela Balconi, Maria E. Vanutelli

Abstract

Cooperation and competition, as two common and opposite examples of interpersonal dynamics, are thought to be reflected by different cognitive, neural, and behavioral patterns. According to the conventional approach, they have been explored by measuring subjects' reactions during individual performance or turn-based interactions in artificial settings, that don't allow on-line, ecological enactment of real-life social exchange. Considering the importance of these factors, and accounting for the complexity of such phenomena, the hyperscanning approach emerged as a multi-subject paradigm since it allows the simultaneous recording of the brain activity from multiple participants interacting. In this view, the present paper aimed at reviewing the most significant work about cooperation and competition by EEG hyperscanning technique, which proved to be a promising tool in capturing the sudden course of social interactions. In detail, the review will consider and group different experimental tasks that have been developed so far: (1) paradigms that used rhythm, music and motor synchronization; (2) card tasks taken from the Game Theory; (3) computerized tasks; and (4) possible real-life applications. Finally, although highlighting the potential contribution of such approach, some important limitations about these paradigms will be elucidated, with a specific focus on the emotional domain.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 196 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 22%
Researcher 25 13%
Student > Master 25 13%
Student > Bachelor 16 8%
Student > Doctoral Student 12 6%
Other 22 11%
Unknown 53 27%
Readers by discipline Count As %
Psychology 49 25%
Neuroscience 38 19%
Engineering 8 4%
Computer Science 7 4%
Business, Management and Accounting 4 2%
Other 16 8%
Unknown 74 38%
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 23 November 2021.
All research outputs
#7,388,498
of 25,888,065 outputs
Outputs from Frontiers in Computational Neuroscience
#352
of 1,475 outputs
Outputs of similar age
#107,711
of 332,618 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#12
of 29 outputs
Altmetric has tracked 25,888,065 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 75% 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 332,618 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 67% of its contemporaries.
We're also able to compare this research output to 29 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 58% of its contemporaries.