↓ Skip to main content

Divergent projections of future land use in the United States arising from different models and scenarios

Overview of attention for article published in Ecological Modelling, October 2016
Altmetric Badge

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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
9 tweeters

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
100 Mendeley
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.
Title
Divergent projections of future land use in the United States arising from different models and scenarios
Published in
Ecological Modelling, October 2016
DOI 10.1016/j.ecolmodel.2016.07.016
Authors

Terry L. Sohl, Michael C. Wimberly, Volker C. Radeloff, David M. Theobald, Benjamin M. Sleeter

Twitter Demographics

The data shown below were collected from the profiles of 9 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
Chile 1 1%
United States 1 1%
Unknown 96 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Student > Master 21 21%
Researcher 19 19%
Student > Doctoral Student 9 9%
Other 6 6%
Other 9 9%
Unknown 14 14%
Readers by discipline Count As %
Environmental Science 22 22%
Agricultural and Biological Sciences 21 21%
Earth and Planetary Sciences 16 16%
Engineering 8 8%
Social Sciences 4 4%
Other 8 8%
Unknown 21 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 26 February 2019.
All research outputs
#1,178,958
of 14,395,965 outputs
Outputs from Ecological Modelling
#62
of 1,539 outputs
Outputs of similar age
#30,041
of 264,623 outputs
Outputs of similar age from Ecological Modelling
#1
of 32 outputs
Altmetric has tracked 14,395,965 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 1,539 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 95% 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 264,623 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 88% of its contemporaries.
We're also able to compare this research output to 32 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 96% of its contemporaries.