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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
51 tweeters

Citations

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1 Dimensions

Readers on

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15 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.

Twitter Demographics

The data shown below were collected from the profiles of 51 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 40%
Unspecified 3 20%
Other 2 13%
Student > Master 2 13%
Researcher 1 7%
Other 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 40%
Environmental Science 5 33%
Unspecified 3 20%
Economics, Econometrics and Finance 1 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 02 October 2018.
All research outputs
#472,258
of 12,363,980 outputs
Outputs from PLoS ONE
#9,042
of 134,926 outputs
Outputs of similar age
#20,353
of 265,423 outputs
Outputs of similar age from PLoS ONE
#211
of 1,916 outputs
Altmetric has tracked 12,363,980 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 134,926 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. 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 265,423 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 92% of its contemporaries.
We're also able to compare this research output to 1,916 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.