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Machine Learning Predictions of pH in the Glacial Aquifer System, Northern USA

Overview of attention for article published in Ground Water, December 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Machine Learning Predictions of pH in the Glacial Aquifer System, Northern USA
Published in
Ground Water, December 2020
DOI 10.1111/gwat.13063
Pubmed ID
Authors

Paul E. Stackelberg, Kenneth Belitz, Craig J. Brown, Melinda L. Erickson, Sarah M. Elliott, Leon J. Kauffman, Katherine M. Ransom, James E. Reddy

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 57%
Student > Master 3 21%
Student > Ph. D. Student 1 7%
Unknown 2 14%
Readers by discipline Count As %
Environmental Science 4 29%
Earth and Planetary Sciences 4 29%
Business, Management and Accounting 1 7%
Unknown 5 36%

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 25 January 2021.
All research outputs
#11,118,520
of 18,382,898 outputs
Outputs from Ground Water
#579
of 727 outputs
Outputs of similar age
#188,858
of 354,635 outputs
Outputs of similar age from Ground Water
#6
of 7 outputs
Altmetric has tracked 18,382,898 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 727 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 18th percentile – i.e., 18% 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 354,635 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.