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Quantifying the visual-sensory landscape qualities that contribute to cultural ecosystem services using social media and LiDAR

Overview of attention for article published in Ecosystem Services, June 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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
20 tweeters

Readers on

mendeley
86 Mendeley
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Title
Quantifying the visual-sensory landscape qualities that contribute to cultural ecosystem services using social media and LiDAR
Published in
Ecosystem Services, June 2018
DOI 10.1016/j.ecoser.2018.03.022
Pubmed ID
Authors

Derek B. Van Berkel, Payam Tabrizian, Monica A. Dorning, Lindsey Smart, Doug Newcomb, Megan Mehaffey, Anne Neale, Ross K. Meentemeyer

Abstract

Landscapes are increasingly recognized for providing valuable cultural ecosystem services with numerous non-material benefits by serving as places of rest, relaxation, and inspiration that ultimately improve overall mental health and physical well-being. Maintaining and enhancing these valuable benefits through targeted management and conservation measures requires understanding the spatial and temporal determinants of perceived landscape values. Content contributed through mobile technologies and the web are emerging globally, providing a promising data source for localizing and assessing these landscape benefits. These georeferenced data offer rich in situ qualitative information through photos and comments that capture valued and special locations across large geographic areas. We present a novel method for mapping and modeling landscape values and perceptions that leverages viewshed analysis of georeferenced social media data. Using a high resolution LiDAR (Light Detection and Ranging) derived digital surface model, we are able to evaluate landscape characteristics associated with the visual-sensory qualities of outdoor recreationalists. Our results show the importance of historical monuments and attractions in addition to specific environmental features which are appreciated by the public. Evaluation of photo-image content highlights the opportunity of including temporally and spatially variable visual-sensory qualities in cultural ecosystem services (CES) evaluation like the sights, sounds and smells of wildlife and weather phenomena.

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Researcher 17 20%
Unspecified 17 20%
Student > Doctoral Student 8 9%
Student > Master 8 9%
Other 18 21%
Readers by discipline Count As %
Environmental Science 27 31%
Unspecified 23 27%
Agricultural and Biological Sciences 8 9%
Social Sciences 5 6%
Arts and Humanities 4 5%
Other 19 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 29 June 2018.
All research outputs
#1,107,087
of 12,829,288 outputs
Outputs from Ecosystem Services
#92
of 564 outputs
Outputs of similar age
#42,020
of 269,556 outputs
Outputs of similar age from Ecosystem Services
#15
of 54 outputs
Altmetric has tracked 12,829,288 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 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 83% 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 269,556 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 84% of its contemporaries.
We're also able to compare this research output to 54 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 72% of its contemporaries.