You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| 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 |
X Demographics
The data shown below were collected from the profiles of 43 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 35% |
| United Kingdom | 4 | 9% |
| India | 1 | 2% |
| France | 1 | 2% |
| Japan | 1 | 2% |
| China | 1 | 2% |
| Bolivia, Plurinational State of | 1 | 2% |
| Uganda | 1 | 2% |
| Mexico | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 17 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 53% |
| Scientists | 18 | 42% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 118 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 14% |
| Student > Master | 12 | 10% |
| Researcher | 9 | 8% |
| Professor | 7 | 6% |
| Student > Doctoral Student | 6 | 5% |
| Other | 22 | 19% |
| Unknown | 46 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 19 | 16% |
| Engineering | 9 | 8% |
| Social Sciences | 6 | 5% |
| Unspecified | 6 | 5% |
| Design | 4 | 3% |
| Other | 25 | 21% |
| Unknown | 49 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 116. 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
#368,928
of 25,721,020 outputs
Outputs from International Journal of Geographical Information Science
#3
of 823 outputs
Outputs of similar age
#10,105
of 436,055 outputs
Outputs of similar age from International Journal of Geographical Information Science
#1
of 24 outputs
Altmetric has tracked 25,721,020 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 823 research outputs from this source. They receive a mean Attention Score of 4.0. 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 436,055 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 24 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 95% of its contemporaries.