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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using decision analysis to collaboratively respond to invasive species threats: A case study of Lake Erie grass carp (Ctenopharyngodon idella)
|
|---|---|
| Published in |
Journal of Great Lakes Research, February 2021
|
| DOI | 10.1016/j.jglr.2020.03.018 |
| Authors |
Kelly F. Robinson, Mark DuFour, Michael Jones, Seth Herbst, Tammy Newcomb, James Boase, Travis Brenden, Duane Chapman, John Dettmers, James Francis, Travis Hartman, Patrick Kočovský, Brian Locke, Christine Mayer, Jeff Tyson |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 64% |
| Canada | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 4 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 28% |
| Student > Doctoral Student | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Other | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 35% |
| Environmental Science | 8 | 19% |
| Engineering | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 21 April 2022.
All research outputs
#2,383,165
of 23,571,271 outputs
Outputs from Journal of Great Lakes Research
#137
of 1,724 outputs
Outputs of similar age
#68,422
of 507,002 outputs
Outputs of similar age from Journal of Great Lakes Research
#5
of 21 outputs
Altmetric has tracked 23,571,271 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,724 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 92% 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 507,002 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 86% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.