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Wind and Wildlife in the Northern Great Plains: Identifying Low-Impact Areas for Wind Development

Overview of attention for article published in PLOS ONE, July 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

policy
1 policy source
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6 X users
facebook
1 Facebook page

Citations

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61 Dimensions

Readers on

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131 Mendeley
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1 CiteULike
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Title
Wind and Wildlife in the Northern Great Plains: Identifying Low-Impact Areas for Wind Development
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0041468
Pubmed ID
Authors

Joseph Fargione, Joseph Kiesecker, M. Jan Slaats, Sarah Olimb

Abstract

Wind energy offers the potential to reduce carbon emissions while increasing energy independence and bolstering economic development. However, wind energy has a larger land footprint per Gigawatt (GW) than most other forms of energy production and has known and predicted adverse effects on wildlife. The Northern Great Plains (NGP) is home both to some of the world's best wind resources and to remaining temperate grasslands, the most converted and least protected ecological system on the planet. Thus, appropriate siting and mitigation of wind development is particularly important in this region. Steering energy development to disturbed lands with low wildlife value rather than placing new developments within large and intact habitats would reduce impacts to wildlife. Goals for wind energy development in the NGP are roughly 30 GW of nameplate capacity by 2030. Our analyses demonstrate that there are large areas where wind development would likely have few additional impacts on wildlife. We estimate there are ∼1,056 GW of potential wind energy available across the NGP on areas likely to have low-impact for biodiversity, over 35 times development goals. New policies and approaches will be required to guide wind energy development to low-impact areas.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Ghana 1 <1%
Portugal 1 <1%
Mexico 1 <1%
United Kingdom 1 <1%
Unknown 123 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 31%
Student > Master 22 17%
Student > Ph. D. Student 16 12%
Other 11 8%
Student > Bachelor 8 6%
Other 12 9%
Unknown 21 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 38%
Environmental Science 30 23%
Engineering 7 5%
Earth and Planetary Sciences 5 4%
Economics, Econometrics and Finance 3 2%
Other 9 7%
Unknown 27 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 October 2016.
All research outputs
#4,445,621
of 22,671,366 outputs
Outputs from PLOS ONE
#60,798
of 193,517 outputs
Outputs of similar age
#30,909
of 164,635 outputs
Outputs of similar age from PLOS ONE
#921
of 3,986 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 68% 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 164,635 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 81% of its contemporaries.
We're also able to compare this research output to 3,986 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.