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Forecasting Weed Distributions using Climate Data: A GIS Early Warning Tool

Overview of attention for article published in Invasive Plant Science and Management, January 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

patent
4 patents

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
67 Mendeley
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Title
Forecasting Weed Distributions using Climate Data: A GIS Early Warning Tool
Published in
Invasive Plant Science and Management, January 2017
DOI 10.1614/ipsm-08-073.1
Authors

Catherine S. Jarnevich, Tracy R. Holcombe, David T. Barnett, Thomas J. Stohlgren, John T. Kartesz

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Unknown 64 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 22%
Student > Ph. D. Student 11 16%
Student > Master 10 15%
Student > Doctoral Student 5 7%
Student > Bachelor 5 7%
Other 8 12%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 51%
Environmental Science 6 9%
Earth and Planetary Sciences 6 9%
Engineering 4 6%
Social Sciences 2 3%
Other 4 6%
Unknown 11 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 February 2022.
All research outputs
#7,070,885
of 21,749,791 outputs
Outputs from Invasive Plant Science and Management
#60
of 157 outputs
Outputs of similar age
#148,706
of 424,876 outputs
Outputs of similar age from Invasive Plant Science and Management
#1
of 1 outputs
Altmetric has tracked 21,749,791 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 157 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 424,876 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them