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Simulating social-ecological systems: the Island Digital Ecosystem Avatars (IDEA) consortium

Overview of attention for article published in Giga Science, March 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
9 X users
peer_reviews
1 peer review site
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
96 Mendeley
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Title
Simulating social-ecological systems: the Island Digital Ecosystem Avatars (IDEA) consortium
Published in
Giga Science, March 2016
DOI 10.1186/s13742-016-0118-5
Pubmed ID
Authors

Neil Davies, Dawn Field, David Gavaghan, Sally J. Holbrook, Serge Planes, Matthias Troyer, Michael Bonsall, Joachim Claudet, George Roderick, Russell J. Schmitt, Linda Amaral Zettler, Véronique Berteaux, Hervé C. Bossin, Charlotte Cabasse, Antoine Collin, John Deck, Tony Dell, Jennifer Dunne, Ruth Gates, Mike Harfoot, James L. Hench, Marania Hopuare, Patrick Kirch, Georgios Kotoulas, Alex Kosenkov, Alex Kusenko, James J. Leichter, Hunter Lenihan, Antonios Magoulas, Neo Martinez, Chris Meyer, Benoit Stoll, Billie Swalla, Daniel M. Tartakovsky, Hinano Teavai Murphy, Slava Turyshev, Fernanda Valdvinos, Rich Williams, Spencer Wood, IDEA Consortium

Abstract

Systems biology promises to revolutionize medicine, yet human wellbeing is also inherently linked to healthy societies and environments (sustainability). The IDEA Consortium is a systems ecology open science initiative to conduct the basic scientific research needed to build use-oriented simulations (avatars) of entire social-ecological systems. Islands are the most scientifically tractable places for these studies and we begin with one of the best known: Moorea, French Polynesia. The Moorea IDEA will be a sustainability simulator modeling links and feedbacks between climate, environment, biodiversity, and human activities across a coupled marine-terrestrial landscape. As a model system, the resulting knowledge and tools will improve our ability to predict human and natural change on Moorea and elsewhere at scales relevant to management/conservation actions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Germany 1 1%
Unknown 93 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 25%
Student > Master 12 13%
Student > Ph. D. Student 11 11%
Professor > Associate Professor 5 5%
Student > Bachelor 4 4%
Other 15 16%
Unknown 25 26%
Readers by discipline Count As %
Environmental Science 21 22%
Agricultural and Biological Sciences 19 20%
Computer Science 6 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Earth and Planetary Sciences 3 3%
Other 18 19%
Unknown 25 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 September 2021.
All research outputs
#1,097,140
of 25,461,852 outputs
Outputs from Giga Science
#168
of 1,170 outputs
Outputs of similar age
#19,437
of 330,166 outputs
Outputs of similar age from Giga Science
#2
of 11 outputs
Altmetric has tracked 25,461,852 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 1,170 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 85% 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 330,166 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 94% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.