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Characterizing the Seasonal Variability of Hypolimnetic Mixing in a Large, Deep Lake

Overview of attention for article published in JOURNAL OF GEOPHYSICAL RESEARCH: OCEANS, November 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Readers on

mendeley
2 Mendeley
Title
Characterizing the Seasonal Variability of Hypolimnetic Mixing in a Large, Deep Lake
Published in
JOURNAL OF GEOPHYSICAL RESEARCH: OCEANS, November 2021
DOI 10.1029/2021jc017533
Authors

David James Cannon, Cary Troy, Harvey Bootsma, Qian Liao, Rae‐Ann MacLellan‐Hurd

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 150%
Readers by discipline Count As %
Environmental Science 2 100%
Chemical Engineering 1 50%

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 28 October 2021.
All research outputs
#14,987,586
of 22,358,143 outputs
Outputs from JOURNAL OF GEOPHYSICAL RESEARCH: OCEANS
#1,786
of 4,404 outputs
Outputs of similar age
#253,761
of 427,091 outputs
Outputs of similar age from JOURNAL OF GEOPHYSICAL RESEARCH: OCEANS
#47
of 88 outputs
Altmetric has tracked 22,358,143 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 4,404 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 58% 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 427,091 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.