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LakeMetabolizer: an R package for estimating lake metabolism from free-water oxygen using diverse statistical models

Overview of attention for article published in Inland Waters, January 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
101 Dimensions

Readers on

mendeley
92 Mendeley
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Title
LakeMetabolizer: an R package for estimating lake metabolism from free-water oxygen using diverse statistical models
Published in
Inland Waters, January 2018
DOI 10.1080/iw-6.4.883
Authors

Luke A. Winslow, Jacob A. Zwart, Ryan D. Batt, Hilary A. Dugan, R. Iestyn Woolway, Jessica R. Corman, Paul C. Hanson, Jordan S. Read

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 90 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 28%
Researcher 14 15%
Student > Bachelor 9 10%
Student > Master 9 10%
Student > Doctoral Student 5 5%
Other 14 15%
Unknown 15 16%
Readers by discipline Count As %
Environmental Science 30 33%
Agricultural and Biological Sciences 20 22%
Earth and Planetary Sciences 8 9%
Biochemistry, Genetics and Molecular Biology 3 3%
Computer Science 1 1%
Other 4 4%
Unknown 26 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2019.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Inland Waters
#116
of 241 outputs
Outputs of similar age
#165,746
of 456,306 outputs
Outputs of similar age from Inland Waters
#7
of 13 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 241 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 38th percentile – i.e., 38% 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 456,306 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.