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Music Performance As an Experimental Approach to Hyperscanning Studies

Overview of attention for article published in Frontiers in Human Neuroscience, May 2016
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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54 Dimensions

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188 Mendeley
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Title
Music Performance As an Experimental Approach to Hyperscanning Studies
Published in
Frontiers in Human Neuroscience, May 2016
DOI 10.3389/fnhum.2016.00242
Pubmed ID
Authors

Michaël A. S. Acquadro, Marco Congedo, Dirk De Riddeer

Abstract

Humans are fundamentally social and tend to create emergent organizations when interacting with each other; from dyads to families, small groups, large groups, societies, and civilizations. The study of the neuronal substrate of human social behavior is currently gaining momentum in the young field of social neuroscience. Hyperscanning is a neuroimaging technique by which we can study two or more brains simultaneously while participants interact with each other. The aim of this article is to discuss several factors that we deem important in designing hyperscanning experiments. We first review hyperscanning studies performed by means of electroencephalography (EEG) that have been relying on a continuous interaction paradigm. Then, we provide arguments for favoring ecological paradigms, for studying the emotional component of social interactions and for performing longitudinal studies, the last two aspects being largely neglected so far in the hyperscanning literature despite their paramount importance in social sciences. Based on these premises, we argue that music performance is a suitable experimental setting for hyperscanning and that for such studies EEG is an appropriate choice as neuroimaging modality.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 <1%
Germany 1 <1%
Unknown 186 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 20%
Student > Master 33 18%
Researcher 26 14%
Student > Bachelor 23 12%
Student > Postgraduate 9 5%
Other 27 14%
Unknown 32 17%
Readers by discipline Count As %
Psychology 53 28%
Neuroscience 33 18%
Engineering 13 7%
Computer Science 7 4%
Arts and Humanities 7 4%
Other 31 16%
Unknown 44 23%
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 24 June 2017.
All research outputs
#6,392,145
of 23,572,509 outputs
Outputs from Frontiers in Human Neuroscience
#2,581
of 7,322 outputs
Outputs of similar age
#99,320
of 337,410 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#70
of 196 outputs
Altmetric has tracked 23,572,509 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 7,322 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 64% 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 337,410 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 70% of its contemporaries.
We're also able to compare this research output to 196 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 63% of its contemporaries.