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Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies

Overview of attention for article published in Environmental Modelling & Software, December 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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7 Mendeley
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Title
Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies
Published in
Environmental Modelling & Software, December 2023
DOI 10.1016/j.envsoft.2023.105864
Authors

Jennifer Murphy, Jeffrey Chanat

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 14%
Student > Doctoral Student 1 14%
Unknown 5 71%
Readers by discipline Count As %
Engineering 1 14%
Unknown 6 86%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 December 2023.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Environmental Modelling & Software
#1,350
of 1,540 outputs
Outputs of similar age
#243,618
of 348,138 outputs
Outputs of similar age from Environmental Modelling & Software
#23
of 27 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,540 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 5th percentile – i.e., 5% 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 348,138 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% 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 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.