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Walking through the forests of the future: using data-driven virtual reality to visualize forests under climate change

Overview of attention for article published in International Journal of Geographical Information Science, November 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 754)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
12 news outlets
twitter
44 tweeters

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
74 Mendeley
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Title
Walking through the forests of the future: using data-driven virtual reality to visualize forests under climate change
Published in
International Journal of Geographical Information Science, November 2020
DOI 10.1080/13658816.2020.1830997
Authors

Jiawei Huang, Melissa S. Lucash, Robert M. Scheller, Alexander Klippel

Twitter Demographics

The data shown below were collected from the profiles of 44 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Student > Master 9 12%
Researcher 5 7%
Professor 5 7%
Student > Doctoral Student 4 5%
Other 9 12%
Unknown 27 36%
Readers by discipline Count As %
Environmental Science 17 23%
Engineering 7 9%
Medicine and Dentistry 3 4%
Psychology 3 4%
Design 3 4%
Other 13 18%
Unknown 28 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 118. 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 23 August 2021.
All research outputs
#287,010
of 22,366,177 outputs
Outputs from International Journal of Geographical Information Science
#4
of 754 outputs
Outputs of similar age
#9,915
of 399,482 outputs
Outputs of similar age from International Journal of Geographical Information Science
#1
of 12 outputs
Altmetric has tracked 22,366,177 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 754 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 99% 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 399,482 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 97% of its contemporaries.
We're also able to compare this research output to 12 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 99% of its contemporaries.