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Assessing reserve effectiveness: Application to a threatened species in a dynamic fire prone forest landscape

Overview of attention for article published in Ecological Modelling, October 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#34 of 2,342)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
3 news outlets
twitter
13 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Assessing reserve effectiveness: Application to a threatened species in a dynamic fire prone forest landscape
Published in
Ecological Modelling, October 2016
DOI 10.1016/j.ecolmodel.2016.07.021
Authors

Charles R. Todd, David B. Lindenmayer, Kasey Stamation, Silvana Acevedo-Cattaneo, Stephen Smith, Linda F. Lumsden

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Ph. D. Student 8 17%
Other 7 15%
Student > Bachelor 3 6%
Student > Doctoral Student 3 6%
Other 8 17%
Unknown 10 21%
Readers by discipline Count As %
Environmental Science 18 38%
Agricultural and Biological Sciences 12 25%
Biochemistry, Genetics and Molecular Biology 1 2%
Unspecified 1 2%
Business, Management and Accounting 1 2%
Other 1 2%
Unknown 14 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 October 2017.
All research outputs
#1,138,394
of 25,374,917 outputs
Outputs from Ecological Modelling
#34
of 2,342 outputs
Outputs of similar age
#20,898
of 332,577 outputs
Outputs of similar age from Ecological Modelling
#3
of 40 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,342 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 98% 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 332,577 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 93% of its contemporaries.
We're also able to compare this research output to 40 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 92% of its contemporaries.