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A spatial classification and database for management, research, and policy making: The Great Lakes aquatic habitat framework

Overview of attention for article published in Journal of Great Lakes Research, June 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
69 Mendeley
Title
A spatial classification and database for management, research, and policy making: The Great Lakes aquatic habitat framework
Published in
Journal of Great Lakes Research, June 2015
DOI 10.1016/j.jglr.2015.03.017
Authors

Lizhu Wang, Catherine M. Riseng, Lacey A. Mason, Kevin E. Wehrly, Edward S. Rutherford, James E. McKenna, Chris Castiglione, Lucinda B. Johnson, Dana M. Infante, Scott Sowa, Mike Robertson, Jeff Schaeffer, Mary Khoury, John Gaiot, Tom Hollenhorst, Colin Brooks, Mark Coscarelli

Twitter Demographics

The data shown below were collected from the profiles of 2 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United States 1 1%
Unknown 67 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 32%
Student > Master 10 14%
Student > Ph. D. Student 9 13%
Other 4 6%
Professor > Associate Professor 3 4%
Other 8 12%
Unknown 13 19%
Readers by discipline Count As %
Environmental Science 22 32%
Agricultural and Biological Sciences 18 26%
Earth and Planetary Sciences 4 6%
Engineering 4 6%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 3 4%
Unknown 17 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 June 2019.
All research outputs
#9,855,192
of 16,056,369 outputs
Outputs from Journal of Great Lakes Research
#792
of 1,279 outputs
Outputs of similar age
#118,592
of 232,599 outputs
Outputs of similar age from Journal of Great Lakes Research
#10
of 35 outputs
Altmetric has tracked 16,056,369 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 34th percentile – i.e., 34% 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 232,599 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 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 65% of its contemporaries.