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Predicting functional responses in agro‐ecosystems from animal movement data to improve management of invasive pests

Overview of attention for article published in Ecological Applications, November 2019
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
8 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Predicting functional responses in agro‐ecosystems from animal movement data to improve management of invasive pests
Published in
Ecological Applications, November 2019
DOI 10.1002/eap.2015
Pubmed ID
Authors

Mark Q. Wilber, Sarah M. Chinn, James C. Beasley, Raoul K. Boughton, Ryan K. Brook, Stephen S. Ditchkoff, Justin W. Fischer, Steve B. Hartley, Lindsey K. Holmstrom, John C. Kilgo, Jesse S. Lewis, Ryan S. Miller, Nathan P. Snow, Kurt C. VerCauteren, Samantha M. Wisely, Colleen T. Webb, Kim M. Pepin

Twitter Demographics

The data shown below were collected from the profiles of 8 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 14%
Student > Ph. D. Student 7 14%
Student > Bachelor 5 10%
Other 5 10%
Student > Master 5 10%
Other 8 16%
Unknown 13 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 50%
Environmental Science 3 6%
Medicine and Dentistry 2 4%
Arts and Humanities 1 2%
Energy 1 2%
Other 1 2%
Unknown 17 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 18 November 2019.
All research outputs
#576,161
of 20,192,041 outputs
Outputs from Ecological Applications
#147
of 3,017 outputs
Outputs of similar age
#14,074
of 289,282 outputs
Outputs of similar age from Ecological Applications
#7
of 40 outputs
Altmetric has tracked 20,192,041 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,017 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done particularly well, scoring higher than 95% 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 289,282 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 95% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.