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Fisheries and biodiversity benefits of using static versus dynamic models for designing marine reserve networks

Overview of attention for article published in Ecosphere, October 2015
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About this Attention Score

  • In the top 25% 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 (90th percentile)

Mentioned by

policy
1 policy source
twitter
38 X users
facebook
1 Facebook page

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
128 Mendeley
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Title
Fisheries and biodiversity benefits of using static versus dynamic models for designing marine reserve networks
Published in
Ecosphere, October 2015
DOI 10.1890/es14-00429.1
Authors

Christopher J. Brown, Crow White, Maria Beger, Hedley S. Grantham, Benjamin S. Halpern, Carissa J. Klein, Peter J. Mumby, Vivitskaia J. D. Tulloch, Mary Ruckelshaus, Hugh P. Possingham

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Portugal 1 <1%
Indonesia 1 <1%
Malaysia 1 <1%
Spain 1 <1%
Brazil 1 <1%
Unknown 121 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 20%
Researcher 23 18%
Student > Master 19 15%
Other 9 7%
Student > Bachelor 7 5%
Other 25 20%
Unknown 20 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 33%
Environmental Science 41 32%
Earth and Planetary Sciences 3 2%
Unspecified 2 2%
Economics, Econometrics and Finance 2 2%
Other 7 5%
Unknown 31 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 03 December 2020.
All research outputs
#1,449,233
of 25,371,288 outputs
Outputs from Ecosphere
#393
of 3,449 outputs
Outputs of similar age
#21,161
of 294,217 outputs
Outputs of similar age from Ecosphere
#6
of 64 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,449 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has done well, scoring higher than 88% 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 294,217 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 64 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 90% of its contemporaries.