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A framework for establishing restoration goals for contaminated ecosystems

Overview of attention for article published in Integrated Environmental Assessment & Management, December 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
6 tweeters

Citations

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21 Dimensions

Readers on

mendeley
54 Mendeley
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Title
A framework for establishing restoration goals for contaminated ecosystems
Published in
Integrated Environmental Assessment & Management, December 2015
DOI 10.1002/ieam.1709
Pubmed ID
Authors

Anne M Wagner, Diane L Larson, Julie A DalSoglio, James A Harris, Paul Labus, Emma J Rosi‐Marshall, Kristin E Skrabis

Abstract

As natural resources become increasingly limited, the value of restoring contaminated sites, both terrestrial and aquatic, becomes increasingly apparent. Traditionally, goals for remediation have been set prior to any consideration of goals for ecological restoration. The goals for remediation have focused on removing or limiting contamination while restoration goals have targeted the ultimate end use. Here, we present a framework for developing a comprehensive set of achievable goals for ecological restoration of contaminated sites to be used in concert with determining goals for remediation. This framework was developed during a Society of Environmental Toxicology and Chemistry and Society of Ecological Restoration co-sponsored workshop that brought together experts from multiple countries. While most members were from North America, this framework is designed for use internationally. We discuss the integration of establishing goals for both contaminant remediation and overall restoration, and the need to include both the restoration of ecological and socio-cultural-economic value in the context of contaminated sites. While recognizing that in some countries there may be regulatory issues associated with contaminants and clean-up, landscape setting and social drivers can inform the restoration goals. We provide a decision tree support tool to guide the establishment of restoration goals for contaminated ecosystems. The overall intent of this decision tree is to provide a framework for goal setting and to identify outcomes achievable given the contamination present at a site. This article is protected by copyright. All rights reserved.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Caledonia 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Master 12 22%
Student > Ph. D. Student 9 17%
Professor 3 6%
Other 3 6%
Other 6 11%
Unknown 9 17%
Readers by discipline Count As %
Environmental Science 22 41%
Agricultural and Biological Sciences 9 17%
Social Sciences 5 9%
Earth and Planetary Sciences 2 4%
Physics and Astronomy 1 2%
Other 4 7%
Unknown 11 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 April 2016.
All research outputs
#10,461,734
of 19,220,747 outputs
Outputs from Integrated Environmental Assessment & Management
#282
of 854 outputs
Outputs of similar age
#100,025
of 248,977 outputs
Outputs of similar age from Integrated Environmental Assessment & Management
#3
of 15 outputs
Altmetric has tracked 19,220,747 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 854 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 66% 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 248,977 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 59% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.