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Using machine learning to quantify the impacts of genetically modified crops on US midwest corn yields

Overview of attention for article published in Applied Geography, September 2019
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
6 tweeters

Readers on

mendeley
4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Using machine learning to quantify the impacts of genetically modified crops on US midwest corn yields
Published in
Applied Geography, September 2019
DOI 10.1016/j.apgeog.2019.102058
Authors

Paul M. Johnson, Ralf Bennartz, Janey V. Camp

Twitter Demographics

The data shown below were collected from the profiles of 6 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 25%
Student > Doctoral Student 1 25%
Student > Postgraduate 1 25%
Professor > Associate Professor 1 25%
Readers by discipline Count As %
Chemical Engineering 1 25%
Agricultural and Biological Sciences 1 25%
Social Sciences 1 25%
Engineering 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 21 August 2019.
All research outputs
#1,483,215
of 13,877,211 outputs
Outputs from Applied Geography
#57
of 760 outputs
Outputs of similar age
#42,652
of 251,596 outputs
Outputs of similar age from Applied Geography
#2
of 12 outputs
Altmetric has tracked 13,877,211 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 760 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 251,596 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 83% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.