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A semi-quantitative approach to GMO risk-benefit analysis

Overview of attention for article published in Transgenic Research, January 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
131 Mendeley
Title
A semi-quantitative approach to GMO risk-benefit analysis
Published in
Transgenic Research, January 2011
DOI 10.1007/s11248-010-9480-8
Pubmed ID
Authors

E. Jane Morris

Abstract

In many countries there are increasing calls for the benefits of genetically modified organisms (GMOs) to be considered as well as the risks, and for a risk-benefit analysis to form an integral part of GMO regulatory frameworks. This trend represents a shift away from the strict emphasis on risks, which is encapsulated in the Precautionary Principle that forms the basis for the Cartagena Protocol on Biosafety, and which is reflected in the national legislation of many countries. The introduction of risk-benefit analysis of GMOs would be facilitated if clear methodologies were available to support the analysis. Up to now, methodologies for risk-benefit analysis that would be applicable to the introduction of GMOs have not been well defined. This paper describes a relatively simple semi-quantitative methodology that could be easily applied as a decision support tool, giving particular consideration to the needs of regulators in developing countries where there are limited resources and experience. The application of the methodology is demonstrated using the release of an insect resistant maize variety in South Africa as a case study. The applicability of the method in the South African regulatory system is also discussed, as an example of what might be involved in introducing changes into an existing regulatory process.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
Spain 2 2%
Portugal 1 <1%
South Africa 1 <1%
Italy 1 <1%
Romania 1 <1%
United Kingdom 1 <1%
Unknown 122 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 27 21%
Researcher 22 17%
Student > Master 21 16%
Student > Ph. D. Student 12 9%
Other 5 4%
Other 15 11%
Unknown 29 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 39%
Environmental Science 12 9%
Biochemistry, Genetics and Molecular Biology 9 7%
Medicine and Dentistry 5 4%
Social Sciences 5 4%
Other 18 14%
Unknown 31 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 20 July 2015.
All research outputs
#2,267,041
of 22,681,577 outputs
Outputs from Transgenic Research
#63
of 889 outputs
Outputs of similar age
#13,441
of 180,345 outputs
Outputs of similar age from Transgenic Research
#1
of 10 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 889 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 92% 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 180,345 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 92% 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 all of them