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Designer's approach for scene selection in tests of preference and restoration along a continuum of natural to manmade environments

Overview of attention for article published in Frontiers in Psychology, August 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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101 Mendeley
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Title
Designer's approach for scene selection in tests of preference and restoration along a continuum of natural to manmade environments
Published in
Frontiers in Psychology, August 2015
DOI 10.3389/fpsyg.2015.01228
Pubmed ID
Authors

MaryCarol R. Hunter, Ali Askarinejad

Abstract

It is well-established that the experience of nature produces an array of positive benefits to mental well-being. Much less is known about the specific attributes of green space which produce these effects. In the absence of translational research that links theory with application, it is challenging to design urban green space for its greatest restorative potential. This translational research provides a method for identifying which specific physical attributes of an environmental setting are most likely to influence preference and restoration responses. Attribute identification was based on a triangulation process invoking environmental psychology and aesthetics theories, principles of design founded in mathematics and aesthetics, and empirical research on the role of specific physical attributes of the environment in preference or restoration responses. From this integration emerged a list of physical attributes defining aspects of spatial structure and environmental content found to be most relevant to the perceptions involved with preference and restoration. The physical attribute list offers a starting point for deciphering which scene stimuli dominate or collaborate in preference and restoration responses. To support this, functional definitions and metrics-efficient methods for attribute quantification are presented. Use of these research products and the process for defining place-based metrics can provide (a) greater control in the selection and interpretation of the scenes/images used in tests of preference and restoration and (b) an expanded evidence base for well-being designers of the built environment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 100 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 25%
Researcher 14 14%
Student > Master 14 14%
Student > Doctoral Student 6 6%
Professor 4 4%
Other 15 15%
Unknown 23 23%
Readers by discipline Count As %
Environmental Science 15 15%
Psychology 12 12%
Design 11 11%
Social Sciences 10 10%
Arts and Humanities 7 7%
Other 17 17%
Unknown 29 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 10 February 2017.
All research outputs
#4,153,673
of 22,824,164 outputs
Outputs from Frontiers in Psychology
#6,984
of 29,780 outputs
Outputs of similar age
#53,126
of 266,176 outputs
Outputs of similar age from Frontiers in Psychology
#140
of 561 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 76% 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 266,176 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 79% of its contemporaries.
We're also able to compare this research output to 561 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.