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Building Better Environmental Risk Assessments

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, August 2015
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Title
Building Better Environmental Risk Assessments
Published in
Frontiers in Bioengineering and Biotechnology, August 2015
DOI 10.3389/fbioe.2015.00110
Pubmed ID
Authors

Raymond Layton, Joe Smith, Phil Macdonald, Ramatha Letchumanan, Paul Keese, Martin Lema

Abstract

Risk assessment is a reasoned, structured approach to address uncertainty based on scientific and technical evidence. It forms the foundation for regulatory decision-making, which is bound by legislative and policy requirements, as well as the need for making timely decisions using available resources. In order to be most useful, environmental risk assessments (ERAs) for genetically modified (GM) crops should provide consistent, reliable, and transparent results across all types of GM crops, traits, and environments. The assessments must also separate essential information from scientific or agronomic data of marginal relevance or value for evaluating risk and complete the assessment in a timely fashion. Challenges in conducting ERAs differ across regulatory systems - examples are presented from Canada, Malaysia, and Argentina. One challenge faced across the globe is the conduct of risk assessments with limited resources. This challenge can be overcome by clarifying risk concepts, placing greater emphasis on data critical to assess environmental risk (for example, phenotypic and plant performance data rather than molecular data), and adapting advances in risk analysis from other relevant disciplines.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 22%
Student > Ph. D. Student 8 18%
Lecturer 5 11%
Researcher 4 9%
Student > Postgraduate 4 9%
Other 7 16%
Unknown 7 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 36%
Nursing and Health Professions 3 7%
Environmental Science 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Computer Science 2 4%
Other 9 20%
Unknown 11 24%
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 06 August 2015.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,053
of 8,500 outputs
Outputs of similar age
#201,829
of 275,469 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#30
of 47 outputs
Altmetric has tracked 25,371,288 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 8,500 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 37th percentile – i.e., 37% 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 275,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.