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Refining species distribution model outputs using landscape-scale habitat data: Forecasting grass carp and Hydrilla establishment in the Great Lakes region

Overview of attention for article published in Journal of Great Lakes Research, April 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
6 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
32 Mendeley
Title
Refining species distribution model outputs using landscape-scale habitat data: Forecasting grass carp and Hydrilla establishment in the Great Lakes region
Published in
Journal of Great Lakes Research, April 2017
DOI 10.1016/j.jglr.2016.09.008
Authors

Marion E. Wittmann, Gust Annis, Andrew M. Kramer, Lacey Mason, Catherine Riseng, Edward S. Rutherford, William L. Chadderton, Dmitry Beletsky, John M. Drake, David M. Lodge

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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 34%
Student > Master 6 19%
Unspecified 3 9%
Student > Bachelor 3 9%
Student > Ph. D. Student 3 9%
Other 6 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 47%
Environmental Science 11 34%
Unspecified 5 16%
Biochemistry, Genetics and Molecular Biology 1 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 December 2018.
All research outputs
#3,718,707
of 13,046,269 outputs
Outputs from Journal of Great Lakes Research
#266
of 1,008 outputs
Outputs of similar age
#120,031
of 369,808 outputs
Outputs of similar age from Journal of Great Lakes Research
#20
of 51 outputs
Altmetric has tracked 13,046,269 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,008 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 72% 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 369,808 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 67% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.