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The Two-Systems Account of Theory of Mind: Testing the Links to Social- Perceptual and Cognitive Abilities

Overview of attention for article published in Frontiers in Human Neuroscience, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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28 X users

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Title
The Two-Systems Account of Theory of Mind: Testing the Links to Social- Perceptual and Cognitive Abilities
Published in
Frontiers in Human Neuroscience, January 2018
DOI 10.3389/fnhum.2018.00025
Pubmed ID
Authors

Bozana Meinhardt-Injac, Moritz M. Daum, Günter Meinhardt, Malte Persike

Abstract

According to the two-systems account of theory of mind (ToM), understanding mental states of others involves both fast social-perceptual processes, as well as slower, reflexive cognitive operations (Frith and Frith, 2008; Apperly and Butterfill, 2009). To test the respective roles of specific abilities in either of these processes we administered 15 experimental procedures to a large sample of 343 participants, testing ability in face recognition and holistic perception, language, and reasoning. ToM was measured by a set of tasks requiring ability to track and to infer complex emotional and mental states of others from faces, eyes, spoken language, and prosody. We used structural equation modeling to test the relative strengths of a social-perceptual (face processing related) and reflexive-cognitive (language and reasoning related) path in predicting ToM ability. The two paths accounted for 58% of ToM variance, thus validating a general two-systems framework. Testing specific predictor paths revealed language and face recognition as strong and significant predictors of ToM. For reasoning, there were neither direct nor mediated effects, albeit reasoning was strongly associated with language. Holistic face perception also failed to show a direct link with ToM ability, while there was a mediated effect via face recognition. These results highlight the respective roles of face recognition and language for the social brain, and contribute closer empirical specification of the general two-systems account.

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The data shown below were collected from the profiles of 28 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 134 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 22%
Student > Ph. D. Student 24 18%
Student > Bachelor 16 12%
Researcher 11 8%
Other 6 4%
Other 19 14%
Unknown 28 21%
Readers by discipline Count As %
Psychology 47 35%
Neuroscience 13 10%
Linguistics 11 8%
Agricultural and Biological Sciences 4 3%
Computer Science 4 3%
Other 20 15%
Unknown 35 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 September 2021.
All research outputs
#2,102,013
of 25,364,653 outputs
Outputs from Frontiers in Human Neuroscience
#963
of 7,666 outputs
Outputs of similar age
#47,554
of 453,269 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#19
of 142 outputs
Altmetric has tracked 25,364,653 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,666 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 87% 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 453,269 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.