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Seasonal patterns in hydrochemical mixing in three Great Lakes rivermouth ecosystems

Overview of attention for article published in Journal of Great Lakes Research, June 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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4 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Seasonal patterns in hydrochemical mixing in three Great Lakes rivermouth ecosystems
Published in
Journal of Great Lakes Research, June 2019
DOI 10.1016/j.jglr.2019.03.009
Authors

Martha L. Carlson Mazur, Jeff Schaeffer, Jennifer E. Granneman, Natalie Goldstrohm, Faith A. Fitzpatrick, James H. Larson, Paul C. Reneau, Kurt P. Kowalski, Paul W. Seelbach

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 29%
Student > Master 5 16%
Other 3 10%
Student > Ph. D. Student 3 10%
Unknown 11 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 19%
Environmental Science 5 16%
Engineering 3 10%
Biochemistry, Genetics and Molecular Biology 1 3%
Chemical Engineering 1 3%
Other 2 6%
Unknown 13 42%
Attention Score in Context

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 18 October 2019.
All research outputs
#13,957,214
of 23,142,049 outputs
Outputs from Journal of Great Lakes Research
#963
of 1,694 outputs
Outputs of similar age
#180,370
of 349,884 outputs
Outputs of similar age from Journal of Great Lakes Research
#14
of 27 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,694 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 41st percentile – i.e., 41% 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 349,884 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.