| Title |
Problem formulation in the environmental risk assessment for genetically modified plants
|
|---|---|
| Published in |
Transgenic Research, September 2009
|
| DOI | 10.1007/s11248-009-9321-9 |
| Pubmed ID | |
| Authors |
Jeffrey D. Wolt, Paul Keese, Alan Raybould, Julie W. Fitzpatrick, Moisés Burachik, Alan Gray, Stephen S. Olin, Joachim Schiemann, Mark Sears, Felicia Wu |
| Abstract |
Problem formulation is the first step in environmental risk assessment (ERA) where policy goals, scope, assessment endpoints, and methodology are distilled to an explicitly stated problem and approach for analysis. The consistency and utility of ERAs for genetically modified (GM) plants can be improved through rigorous problem formulation (PF), producing an analysis plan that describes relevant exposure scenarios and the potential consequences of these scenarios. A properly executed PF assures the relevance of ERA outcomes for decision-making. Adopting a harmonized approach to problem formulation should bring about greater uniformity in the ERA process for GM plants among regulatory regimes globally. This paper is the product of an international expert group convened by the International Life Sciences Institute (ILSI) Research Foundation. |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Spain | 2 | 1% |
| Italy | 1 | <1% |
| Kenya | 1 | <1% |
| Taiwan | 1 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| Slovenia | 1 | <1% |
| Unknown | 138 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 22% |
| Student > Master | 26 | 18% |
| Student > Ph. D. Student | 24 | 16% |
| Other | 7 | 5% |
| Student > Bachelor | 7 | 5% |
| Other | 25 | 17% |
| Unknown | 26 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 61 | 41% |
| Environmental Science | 21 | 14% |
| Biochemistry, Genetics and Molecular Biology | 10 | 7% |
| Nursing and Health Professions | 5 | 3% |
| Social Sciences | 5 | 3% |
| Other | 17 | 11% |
| Unknown | 29 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 11 February 2019.
All research outputs
#704,701
of 22,759,618 outputs
Outputs from Transgenic Research
#12
of 891 outputs
Outputs of similar age
#1,720
of 92,569 outputs
Outputs of similar age from Transgenic Research
#1
of 11 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 891 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 98% 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 92,569 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 98% 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 particularly well, scoring higher than 90% of its contemporaries.