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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
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
8 X users

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
169 Mendeley
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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

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 169 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 165 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 22%
Researcher 28 17%
Student > Master 26 15%
Student > Doctoral Student 13 8%
Other 7 4%
Other 22 13%
Unknown 36 21%
Readers by discipline Count As %
Environmental Science 35 21%
Agricultural and Biological Sciences 25 15%
Earth and Planetary Sciences 24 14%
Engineering 14 8%
Social Sciences 6 4%
Other 13 8%
Unknown 52 31%
Attention Score in Context

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 26 February 2019.
All research outputs
#2,794,697
of 25,400,630 outputs
Outputs from Ecological Modelling
#149
of 2,342 outputs
Outputs of similar age
#46,540
of 332,585 outputs
Outputs of similar age from Ecological Modelling
#5
of 40 outputs
Altmetric has tracked 25,400,630 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,342 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 93% 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 332,585 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 85% of its contemporaries.
We're also able to compare this research output to 40 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 90% of its contemporaries.