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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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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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 308 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 15 5%
United States 4 1%
United Kingdom 3 <1%
Netherlands 1 <1%
Papua New Guinea 1 <1%
Italy 1 <1%
Bolivia, Plurinational State of 1 <1%
Malaysia 1 <1%
Denmark 1 <1%
Other 3 <1%
Unknown 277 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 71 23%
Student > Ph. D. Student 68 22%
Student > Master 39 13%
Student > Doctoral Student 19 6%
Professor 19 6%
Other 63 20%
Unknown 29 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 114 37%
Environmental Science 89 29%
Earth and Planetary Sciences 21 7%
Social Sciences 14 5%
Economics, Econometrics and Finance 4 1%
Other 22 7%
Unknown 44 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 September 2021.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Biological Reviews
#1,455
of 1,569 outputs
Outputs of similar age
#96,002
of 106,625 outputs
Outputs of similar age from Biological Reviews
#10
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,569 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.8. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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