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Operationalizing Network Theory for Ecosystem Service Assessments

Overview of attention for article published in Trends in Ecology & Evolution, November 2016
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
65 X users
facebook
1 Facebook page
googleplus
4 Google+ users

Citations

dimensions_citation
101 Dimensions

Readers on

mendeley
481 Mendeley
citeulike
1 CiteULike
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Title
Operationalizing Network Theory for Ecosystem Service Assessments
Published in
Trends in Ecology & Evolution, November 2016
DOI 10.1016/j.tree.2016.10.011
Pubmed ID
Authors

Laura E. Dee, Stefano Allesina, Aletta Bonn, Anna Eklöf, Steven D. Gaines, Jes Hines, Ute Jacob, Eve McDonald-Madden, Hugh Possingham, Matthias Schröter, Ross M. Thompson

X Demographics

X Demographics

The data shown below were collected from the profiles of 65 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 481 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 <1%
Finland 2 <1%
Netherlands 1 <1%
Chile 1 <1%
Australia 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Germany 1 <1%
Canada 1 <1%
Other 3 <1%
Unknown 467 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 123 26%
Researcher 92 19%
Student > Master 56 12%
Student > Doctoral Student 24 5%
Professor > Associate Professor 21 4%
Other 70 15%
Unknown 95 20%
Readers by discipline Count As %
Environmental Science 156 32%
Agricultural and Biological Sciences 106 22%
Social Sciences 21 4%
Earth and Planetary Sciences 13 3%
Engineering 11 2%
Other 38 8%
Unknown 136 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 19 April 2024.
All research outputs
#1,062,113
of 26,017,215 outputs
Outputs from Trends in Ecology & Evolution
#649
of 3,264 outputs
Outputs of similar age
#18,896
of 316,154 outputs
Outputs of similar age from Trends in Ecology & Evolution
#10
of 39 outputs
Altmetric has tracked 26,017,215 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 3,264 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.9. This one has done well, scoring higher than 79% 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 316,154 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 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.