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Evaluation of machine learning methods for predicting eradication of aquatic invasive species

Overview of attention for article published in Biological Invasions, March 2018
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
2 news outlets
twitter
6 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
37 Mendeley
Title
Evaluation of machine learning methods for predicting eradication of aquatic invasive species
Published in
Biological Invasions, March 2018
DOI 10.1007/s10530-018-1715-2
Authors

Yanyu Xiao, Russell Greiner, Mark A. Lewis

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Master 5 14%
Researcher 4 11%
Other 3 8%
Student > Doctoral Student 3 8%
Other 2 5%
Unknown 11 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 32%
Environmental Science 7 19%
Mathematics 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Linguistics 1 3%
Other 3 8%
Unknown 11 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 13 July 2018.
All research outputs
#1,495,942
of 23,047,237 outputs
Outputs from Biological Invasions
#211
of 2,351 outputs
Outputs of similar age
#35,346
of 330,032 outputs
Outputs of similar age from Biological Invasions
#7
of 58 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,351 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done particularly well, scoring higher than 90% 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 330,032 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 89% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.