↓ Skip to main content

Assessing local population vulnerability with branching process models: an application to wind energy development

Overview of attention for article published in Ecosphere, December 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
49 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
Assessing local population vulnerability with branching process models: an application to wind energy development
Published in
Ecosphere, December 2015
DOI 10.1890/es15-00103.1
Authors

Richard A. Erickson, Eric A. Eager, Jessica C. Stanton, Julie A. Beston, Jay E. Diffendorfer, Wayne E. Thogmartin

Twitter Demographics

The data shown below were collected from the profiles of 4 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
Mexico 1 2%
United Kingdom 1 2%
Portugal 1 2%
Unknown 43 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 41%
Student > Ph. D. Student 10 20%
Other 6 12%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 5 10%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 47%
Environmental Science 19 39%
Mathematics 2 4%
Medicine and Dentistry 1 2%
Unknown 4 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 February 2017.
All research outputs
#3,297,517
of 12,082,520 outputs
Outputs from Ecosphere
#735
of 1,385 outputs
Outputs of similar age
#90,776
of 322,588 outputs
Outputs of similar age from Ecosphere
#20
of 46 outputs
Altmetric has tracked 12,082,520 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,385 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 322,588 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 46 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 56% of its contemporaries.