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Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach

Overview of attention for article published in Frontiers in Human Neuroscience, January 2017
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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37 X users

Citations

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122 Dimensions

Readers on

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226 Mendeley
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Title
Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach
Published in
Frontiers in Human Neuroscience, January 2017
DOI 10.3389/fnhum.2016.00694
Pubmed ID
Authors

Simon Ladouce, David I. Donaldson, Paul A. Dudchenko, Magdalena Ietswaart

Abstract

There is a growing body of evidence that important aspects of human cognition have been marginalized, or overlooked, by traditional cognitive science. In particular, the use of laboratory-based experiments in which stimuli are artificial, and response options are fixed, inevitably results in findings that are less ecologically valid in relation to real-world behavior. In the present review we highlight the opportunities provided by a range of new mobile technologies that allow traditionally lab-bound measurements to now be collected during natural interactions with the world. We begin by outlining the theoretical support that mobile approaches receive from the development of embodied accounts of cognition, and we review the widening evidence that illustrates the importance of examining cognitive processes in their context. As we acknowledge, in practice, the development of mobile approaches brings with it fresh challenges, and will undoubtedly require innovation in paradigm design and analysis. If successful, however, the mobile cognition approach will offer novel insights in a range of areas, including understanding the cognitive processes underlying navigation through space and the role of attention during natural behavior. We argue that the development of real-world mobile cognition offers both increased ecological validity, and the opportunity to examine the interactions between perception, cognition and action-rather than examining each in isolation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 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 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 226 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 26%
Researcher 37 16%
Student > Master 27 12%
Student > Bachelor 23 10%
Student > Doctoral Student 13 6%
Other 39 17%
Unknown 29 13%
Readers by discipline Count As %
Psychology 43 19%
Neuroscience 36 16%
Engineering 26 12%
Computer Science 15 7%
Agricultural and Biological Sciences 10 4%
Other 45 20%
Unknown 51 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 19 August 2021.
All research outputs
#1,638,687
of 25,843,331 outputs
Outputs from Frontiers in Human Neuroscience
#747
of 7,768 outputs
Outputs of similar age
#32,826
of 426,300 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#18
of 180 outputs
Altmetric has tracked 25,843,331 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 7,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done particularly well, scoring higher than 90% 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 426,300 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 92% of its contemporaries.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.