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A large-scale application of project prioritization to threatened species investment by a government agency

Overview of attention for article published in PLOS ONE, August 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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4 news outlets
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47 X users

Citations

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36 Dimensions

Readers on

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87 Mendeley
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Title
A large-scale application of project prioritization to threatened species investment by a government agency
Published in
PLOS ONE, August 2018
DOI 10.1371/journal.pone.0201413
Pubmed ID
Authors

James Brazill-Boast, Moira Williams, Beth Rickwood, Thalie Partridge, Grant Bywater, Bronwyn Cumbo, Ian Shannon, William J. M. Probert, Julie Ravallion, Hugh Possingham, Richard F. Maloney

Abstract

In a global environment of increasing species extinctions and decreasing availability of funds with which to combat the causes of biodiversity loss, maximising the efficiency of conservation efforts is crucial. The only way to ensure maximum return on conservation investment is to incorporate the cost, benefit and likelihood of success of conservation actions into decision-making in a systematic and objective way. Here we report on the application of a Project Prioritization Protocol (PPP), first implemented by the New Zealand Government, to target and prioritize investment in threatened species in New South Wales, Australia, under the state's new Saving our Species program. Detailed management prescriptions for 368 threatened species were developed via an expert elicitation process, and were then prioritized using quantitative data on benefit, likelihood of success and implementation cost, and a simple cost-efficiency equation. We discuss the outcomes that have been realized even in the early stages of the program; including the efficient development of planning resources made available to all potential threatened species investors and the demonstration of a transparent and objective approach to threatened species management that will significantly increase the probability of meeting an objective to secure the greatest number of threatened species from extinction.

X Demographics

X Demographics

The data shown below were collected from the profiles of 47 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 14%
Researcher 12 14%
Student > Ph. D. Student 12 14%
Student > Bachelor 7 8%
Other 7 8%
Other 10 11%
Unknown 27 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 28%
Environmental Science 23 26%
Business, Management and Accounting 2 2%
Earth and Planetary Sciences 2 2%
Computer Science 1 1%
Other 3 3%
Unknown 32 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 May 2021.
All research outputs
#723,709
of 25,085,910 outputs
Outputs from PLOS ONE
#9,709
of 217,642 outputs
Outputs of similar age
#15,454
of 336,797 outputs
Outputs of similar age from PLOS ONE
#198
of 3,341 outputs
Altmetric has tracked 25,085,910 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 217,642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. 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 336,797 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 3,341 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 94% of its contemporaries.