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Optimizing management of invasions in an uncertain world using dynamic spatial models

Overview of attention for article published in Ecological Applications, May 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
10 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Optimizing management of invasions in an uncertain world using dynamic spatial models
Published in
Ecological Applications, May 2022
DOI 10.1002/eap.2628
Pubmed ID
Authors

Kim M. Pepin, Amy J. Davis, Rebecca S. Epanchin‐Niell, Andrew M. Gormley, Joslin L. Moore, Timothy J. Smyser, H. Bradley Shaffer, William L. Kendall, Katriona Shea, Michael C. Runge, Sophie McKee

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Other 2 7%
Professor > Associate Professor 2 7%
Researcher 2 7%
Professor 1 3%
Other 2 7%
Unknown 16 55%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 17%
Environmental Science 4 14%
Economics, Econometrics and Finance 2 7%
Earth and Planetary Sciences 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 16 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 March 2023.
All research outputs
#5,663,170
of 23,578,918 outputs
Outputs from Ecological Applications
#1,343
of 3,232 outputs
Outputs of similar age
#107,804
of 441,930 outputs
Outputs of similar age from Ecological Applications
#44
of 85 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,232 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has gotten more attention than average, scoring higher than 58% 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 441,930 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 75% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.