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New Genes in Traditional Seed Systems: Diffusion, Detectability and Persistence of Transgenes in a Maize Metapopulation

Overview of attention for article published in PLOS ONE, October 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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5 X users
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1 Facebook page
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3 Wikipedia pages

Citations

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21 Dimensions

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96 Mendeley
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Title
New Genes in Traditional Seed Systems: Diffusion, Detectability and Persistence of Transgenes in a Maize Metapopulation
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046123
Pubmed ID
Authors

Joost van Heerwaarden, Diego Ortega Del Vecchyo, Elena R. Alvarez-Buylla, Mauricio R. Bellon

Abstract

Gene flow of transgenes into non-target populations is an important biosafety concern. The case of genetically modified (GM) maize in Mexico has been of particular interest because of the country's status as center of origin and landrace diversity. In contrast to maize in the U.S. and Europe, Mexican landraces form part of an evolving metapopulation in which new genes are subject to evolutionary processes of drift, gene flow and selection. Although these processes are affected by seed management and particularly seed flow, there has been little study into the population genetics of transgenes under traditional seed management. Here, we combine recently compiled data on seed management practices with a spatially explicit population genetic model to evaluate the importance of seed flow as a determinant of the long-term fate of transgenes in traditional seed systems. Seed flow between farmers leads to a much wider diffusion of transgenes than expected by pollen movement alone, but a predominance of seed replacement over seed mixing lowers the probability of detection due to a relative lack of homogenization in spatial frequencies. We find that in spite of the spatial complexities of the modeled system, persistence probabilities under positive selection are estimated quite well by existing theory. Our results have important implications concerning the feasibility of long term transgene monitoring and control in traditional seed systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
Peru 2 2%
United States 2 2%
Mexico 2 2%
Sweden 1 1%
Unknown 87 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 25%
Student > Master 14 15%
Student > Ph. D. Student 11 11%
Student > Bachelor 10 10%
Professor 6 6%
Other 20 21%
Unknown 11 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 52%
Environmental Science 11 11%
Biochemistry, Genetics and Molecular Biology 6 6%
Economics, Econometrics and Finance 4 4%
Social Sciences 3 3%
Other 8 8%
Unknown 14 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 November 2020.
All research outputs
#4,420,861
of 22,679,690 outputs
Outputs from PLOS ONE
#60,563
of 193,573 outputs
Outputs of similar age
#32,157
of 172,465 outputs
Outputs of similar age from PLOS ONE
#936
of 4,541 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,573 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 68% 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 172,465 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 4,541 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.