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Beyond human intentions and emotions

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
15 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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14 Dimensions

Readers on

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85 Mendeley
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Title
Beyond human intentions and emotions
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00099
Pubmed ID
Authors

Elsa Juan, Chris Frum, Francesco Bianchi-Demicheli, Yi-Wen Wang, James W. Lewis, Stephanie Cacioppo

Abstract

Although significant advances have been made in our understanding of the neural basis of action observation and intention understanding in the last few decades by studies demonstrating the involvement of a specific brain network (action observation network; AON), these have been largely based on experimental studies in which people have been considered as strictly isolated entities. However, we, as social species, spend much more of our time performing actions interacting with others. Research shows that a person's position along the continuum of perceived social isolation/bonding to others is associated with a variety of physical and mental health effects. Thus, there is a crucial need to better understand the neural basis of intention understanding performed in interpersonal and emotional contexts. To address this issue, we performed a meta-analysis using of functional magnetic resonance imaging (fMRI) studies over the past decade that examined brain and cortical network processing associated with understanding the intention of others actions vs. those associated with passionate love for others. Both overlapping and distinct cortical and subcortical regions were identified for intention and love, respectively. These findings provide scientists and clinicians with a set of brain regions that can be targeted for future neuroscientific studies on intention understanding, and help develop neurocognitive models of pair-bonding.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Germany 1 1%
Turkey 1 1%
Italy 1 1%
United Kingdom 1 1%
Denmark 1 1%
Unknown 79 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 20%
Student > Ph. D. Student 15 18%
Professor 8 9%
Student > Bachelor 8 9%
Student > Doctoral Student 6 7%
Other 20 24%
Unknown 11 13%
Readers by discipline Count As %
Psychology 24 28%
Medicine and Dentistry 9 11%
Agricultural and Biological Sciences 8 9%
Neuroscience 7 8%
Engineering 6 7%
Other 12 14%
Unknown 19 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 20 August 2014.
All research outputs
#1,747,503
of 25,182,110 outputs
Outputs from Frontiers in Human Neuroscience
#820
of 7,638 outputs
Outputs of similar age
#15,965
of 293,942 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#137
of 860 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 89% 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 293,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 860 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.