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 |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 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 | 84 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 25 | 29% |
Student > Master | 13 | 15% |
Student > Ph. D. Student | 10 | 12% |
Other | 5 | 6% |
Professor > Associate Professor | 5 | 6% |
Other | 9 | 10% |
Unknown | 19 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 27 | 31% |
Agricultural and Biological Sciences | 20 | 23% |
Earth and Planetary Sciences | 4 | 5% |
Engineering | 4 | 5% |
Mathematics | 2 | 2% |
Other | 6 | 7% |
Unknown | 23 | 27% |
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
#14,810,408
of 22,803,211 outputs
Outputs from Journal of Great Lakes Research
#1,100
of 1,672 outputs
Outputs of similar age
#147,867
of 267,541 outputs
Outputs of similar age from Journal of Great Lakes Research
#10
of 35 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 31st percentile – i.e., 31% 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 267,541 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% 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 62% of its contemporaries.