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Using learning networks to understand complex systems: a case study of biological, geophysical and social research in the Amazon

Overview of attention for article published in Biological Reviews, September 2010
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
261 Mendeley
citeulike
1 CiteULike
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Title
Using learning networks to understand complex systems: a case study of biological, geophysical and social research in the Amazon
Published in
Biological Reviews, September 2010
DOI 10.1111/j.1469-185x.2010.00155.x
Pubmed ID
Authors

Jos Barlow, Robert M. Ewers, Liana Anderson, Luiz E. O. C. Aragao, Tim R. Baker, Emily Boyd, Ted R. Feldpausch, Emanuel Gloor, Anthony Hall, Yadvinder Malhi, William Milliken, Mark Mulligan, Luke Parry, Toby Pennington, Carlos A. Peres, Oliver L. Phillips, Rosa Maria Roman-Cuesta, Joseph A. Tobias, Toby A. Gardner

Abstract

Developing high-quality scientific research will be most effective if research communities with diverse skills and interests are able to share information and knowledge, are aware of the major challenges across disciplines, and can exploit economies of scale to provide robust answers and better inform policy. We evaluate opportunities and challenges facing the development of a more interactive research environment by developing an interdisciplinary synthesis of research on a single geographic region. We focus on the Amazon as it is of enormous regional and global environmental importance and faces a highly uncertain future. To take stock of existing knowledge and provide a framework for analysis we present a set of mini-reviews from fourteen different areas of research, encompassing taxonomy, biodiversity, biogeography, vegetation dynamics, landscape ecology, earth-atmosphere interactions, ecosystem processes, fire, deforestation dynamics, hydrology, hunting, conservation planning, livelihoods, and payments for ecosystem services. Each review highlights the current state of knowledge and identifies research priorities, including major challenges and opportunities. We show that while substantial progress is being made across many areas of scientific research, our understanding of specific issues is often dependent on knowledge from other disciplines. Accelerating the acquisition of reliable and contextualized knowledge about the fate of complex pristine and modified ecosystems is partly dependent on our ability to exploit economies of scale in shared resources and technical expertise, recognise and make explicit interconnections and feedbacks among sub-disciplines, increase the temporal and spatial scale of existing studies, and improve the dissemination of scientific findings to policy makers and society at large. Enhancing interaction among research efforts is vital if we are to make the most of limited funds and overcome the challenges posed by addressing large-scale interdisciplinary questions. Bringing together a diverse scientific community with a single geographic focus can help increase awareness of research questions both within and among disciplines, and reveal the opportunities that may exist for advancing acquisition of reliable knowledge. This approach could be useful for a variety of globally important scientific questions.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 16 6%
United States 4 2%
United Kingdom 3 1%
Papua New Guinea 1 <1%
Italy 1 <1%
Netherlands 1 <1%
Bolivia, Plurinational State of 1 <1%
Canada 1 <1%
Denmark 1 <1%
Other 3 1%
Unknown 229 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 65 25%
Student > Ph. D. Student 60 23%
Student > Master 37 14%
Student > Doctoral Student 18 7%
Professor 17 7%
Other 53 20%
Unknown 11 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 110 42%
Environmental Science 79 30%
Earth and Planetary Sciences 20 8%
Social Sciences 11 4%
Economics, Econometrics and Finance 4 2%
Other 15 6%
Unknown 22 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 August 2014.
All research outputs
#7,507,652
of 12,577,171 outputs
Outputs from Biological Reviews
#780
of 928 outputs
Outputs of similar age
#88,750
of 192,547 outputs
Outputs of similar age from Biological Reviews
#8
of 10 outputs
Altmetric has tracked 12,577,171 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 928 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 192,547 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.