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Perspective taking in language: integrating the spatial and action domains

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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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)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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

Readers on

mendeley
119 Mendeley
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Title
Perspective taking in language: integrating the spatial and action domains
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00577
Pubmed ID
Authors

Madeleine E. L. Beveridge, Martin J. Pickering

Abstract

Language is an inherently social behavior. In this paper, we bring together two research areas that typically occupy distinct sections of the literature: perspective taking in spatial language (whether people represent a scene from their own or a different spatial perspective), and perspective taking in action language (the extent to which they simulate an action as though they were performing that action). First, we note that vocabulary is used inconsistently across the spatial and action domains, and propose a more transparent vocabulary that will allow researchers to integrate action- and spatial-perspective taking. Second, we note that embodied theories of language comprehension often make the narrow assumption that understanding action descriptions involves adopting the perspective of an agent carrying out that action. We argue that comprehenders can adopt embodied action-perspectives other than that of the agent, including those of the patient or an observer. Third, we review evidence showing that perspective taking in spatial language is a flexible process. We argue that the flexibility of spatial-perspective taking provides a means for conversation partners engaged in dialogue to maximize similarity between their situation models. These situation models can then be used as the basis for action language simulations, in which language users adopt a particular action-perspective.

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

Geographical breakdown

Country Count As %
United States 3 3%
Russia 2 2%
Spain 2 2%
United Kingdom 1 <1%
Switzerland 1 <1%
Finland 1 <1%
Unknown 109 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 26%
Student > Master 17 14%
Researcher 16 13%
Professor > Associate Professor 9 8%
Professor 7 6%
Other 28 24%
Unknown 11 9%
Readers by discipline Count As %
Psychology 52 44%
Linguistics 9 8%
Neuroscience 7 6%
Business, Management and Accounting 5 4%
Nursing and Health Professions 4 3%
Other 21 18%
Unknown 21 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 28 January 2016.
All research outputs
#3,078,786
of 26,017,215 outputs
Outputs from Frontiers in Human Neuroscience
#1,421
of 7,768 outputs
Outputs of similar age
#29,530
of 295,070 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#225
of 862 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 81% 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 295,070 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 862 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 73% of its contemporaries.