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Trends in pesticide use on soybean, corn and cotton since the introduction of major genetically modified crops in the United States

Overview of attention for article published in Pest Management Science, August 2015
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
3 tweeters
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
129 Mendeley
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Title
Trends in pesticide use on soybean, corn and cotton since the introduction of major genetically modified crops in the United States
Published in
Pest Management Science, August 2015
DOI 10.1002/ps.4082
Pubmed ID
Authors

Richard H Coupe, Paul D Capel

Abstract

Genetically modified (GM) varieties of soybean, corn, and cotton have largely replaced conventional varieties in the United States (US). The most widely used applications of GM technology have been the development of crops that are resistant to a specific broad-spectrum herbicide (primarily glyphosate) or that produce insecticidal compounds within the plant itself. With the widespread adoption of GM crops, a decline in the use of conventional pesticides was expected. There has been a reduction in the annual herbicide application rate to corn since the advent of GM crops, but the herbicide application rate is mostly unchanged for cotton. Herbicide use on soybean has increased. There has been a substantial reduction in the amount of insecticides used on both corn and cotton since the introduction of GM crops. The observed changes in pesticide use are likely to be the result of many factors, including the introduction of GM crops, regulatory restrictions on some conventional pesticides, introduction of new pesticide technologies, and changes in farming practices. In order to help protect human and environmental health and to help agriculture plan for the future, more detailed and complete documentation on pesticide use is needed on a frequent and ongoing basis.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Austria 1 <1%
Unknown 127 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 27 21%
Student > Master 25 19%
Researcher 16 12%
Student > Ph. D. Student 14 11%
Student > Doctoral Student 9 7%
Other 19 15%
Unknown 19 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 35%
Environmental Science 12 9%
Biochemistry, Genetics and Molecular Biology 8 6%
Social Sciences 5 4%
Chemistry 5 4%
Other 28 22%
Unknown 26 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 04 November 2020.
All research outputs
#944,186
of 17,614,750 outputs
Outputs from Pest Management Science
#57
of 2,058 outputs
Outputs of similar age
#16,047
of 241,713 outputs
Outputs of similar age from Pest Management Science
#1
of 33 outputs
Altmetric has tracked 17,614,750 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,058 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 97% 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 241,713 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 93% of its contemporaries.
We're also able to compare this research output to 33 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 99% of its contemporaries.