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Confronting herbicide resistance with cooperative management

Overview of attention for article published in Pesticide Science, August 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
policy
1 policy source
twitter
5 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Confronting herbicide resistance with cooperative management
Published in
Pesticide Science, August 2018
DOI 10.1002/ps.5105
Pubmed ID
Authors

Jeffrey A Evans, Alwyn Williams, Aaron G Hager, Steven B Mirsky, Patrick J Tranel, Adam S Davis

Abstract

Resistance of pathogens and pests to antibiotics and pesticides worldwide is rapidly reaching critical levels. The common-pool-resource nature of this problem (i.e., whereby the susceptibility to treatment of target organisms is a shared resource) has been largely overlooked. Using herbicide-resistant weeds as a model system, we developed a discrete-time landscape-scale simulation to investigate how aggregating herbicide management strategies at different spatial scales from individual farms to larger cooperative structures affects the evolution of glyphosate resistance in common waterhemp (Amaranthus tuberculatus). Our findings indicate that high-efficacy herbicide management strategies practiced at the farm scale are insufficient to slow resistance evolution in A. tuberculatus. When best practices were aggregated at large spatial scales, resistance evolution was hindered; conversely, when poor management practices were aggregated, resistance was exacerbated. Tank mixture-based strategies were more effective than rotation-based strategies in most circumstances, while applying glyphosate alone resulted in the poorest outcomes. Our findings highlight the importance of landscape-scale cooperative management for confronting common-pool-resource resistance problems in weeds and other analogous systems. This article is protected by copyright. All rights reserved.

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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 12%
Student > Master 5 12%
Student > Ph. D. Student 4 10%
Student > Bachelor 2 5%
Professor 2 5%
Other 4 10%
Unknown 20 48%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 26%
Environmental Science 3 7%
Business, Management and Accounting 2 5%
Social Sciences 2 5%
Psychology 1 2%
Other 1 2%
Unknown 22 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 28 February 2023.
All research outputs
#891,514
of 25,382,440 outputs
Outputs from Pesticide Science
#66
of 3,676 outputs
Outputs of similar age
#18,844
of 341,562 outputs
Outputs of similar age from Pesticide Science
#1
of 60 outputs
Altmetric has tracked 25,382,440 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 3,676 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 341,562 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 94% of its contemporaries.
We're also able to compare this research output to 60 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 98% of its contemporaries.