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Navigation in Real-World Environments: New Opportunities Afforded by Advances in Mobile Brain Imaging

Overview of attention for article published in Frontiers in Human Neuroscience, September 2018
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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1 policy source
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23 X users

Citations

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51 Dimensions

Readers on

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135 Mendeley
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Title
Navigation in Real-World Environments: New Opportunities Afforded by Advances in Mobile Brain Imaging
Published in
Frontiers in Human Neuroscience, September 2018
DOI 10.3389/fnhum.2018.00361
Pubmed ID
Authors

Joanne L. Park, Paul A. Dudchenko, David I. Donaldson

Abstract

A central question in neuroscience and psychology is how the mammalian brain represents the outside world and enables interaction with it. Significant progress on this question has been made in the domain of spatial cognition, where a consistent network of brain regions that represent external space has been identified in both humans and rodents. In rodents, much of the work to date has been done in situations where the animal is free to move about naturally. By contrast, the majority of work carried out to date in humans is static, due to limitations imposed by traditional laboratory based imaging techniques. In recent years, significant progress has been made in bridging the gap between animal and human work by employing virtual reality (VR) technology to simulate aspects of real-world navigation. Despite this progress, the VR studies often fail to fully simulate important aspects of real-world navigation, where information derived from self-motion is integrated with representations of environmental features and task goals. In the current review article, we provide a brief overview of animal and human imaging work to date, focusing on commonalties and differences in findings across species. Following on from this we discuss VR studies of spatial cognition, outlining limitations and developments, before introducing mobile brain imaging techniques and describe technical challenges and solutions for real-world recording. Finally, we discuss how these advances in mobile brain imaging technology, provide an unprecedented opportunity to illuminate how the brain represents complex multifaceted information during naturalistic navigation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 27%
Researcher 22 16%
Student > Bachelor 12 9%
Student > Master 11 8%
Professor 6 4%
Other 16 12%
Unknown 31 23%
Readers by discipline Count As %
Neuroscience 36 27%
Psychology 23 17%
Engineering 6 4%
Agricultural and Biological Sciences 6 4%
Computer Science 5 4%
Other 19 14%
Unknown 40 30%
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 05 July 2019.
All research outputs
#2,042,550
of 25,010,497 outputs
Outputs from Frontiers in Human Neuroscience
#938
of 7,600 outputs
Outputs of similar age
#41,517
of 343,115 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#15
of 125 outputs
Altmetric has tracked 25,010,497 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 7,600 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 343,115 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 87% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.