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Machine-Learning Predictions of High Arsenic and High Manganese at Drinking Water Depths of the Glacial Aquifer System, Northern Continental United States

Overview of attention for article published in Environmental Science & Technology, April 2021
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Mentioned by

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1 X user

Citations

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58 Dimensions

Readers on

mendeley
67 Mendeley
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Title
Machine-Learning Predictions of High Arsenic and High Manganese at Drinking Water Depths of the Glacial Aquifer System, Northern Continental United States
Published in
Environmental Science & Technology, April 2021
DOI 10.1021/acs.est.0c06740
Pubmed ID
Authors

Melinda L. Erickson, Sarah M. Elliott, Craig J. Brown, Paul E. Stackelberg, Katherine M. Ransom, James E. Reddy, Charles A. Cravotta

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Ph. D. Student 10 15%
Student > Doctoral Student 5 7%
Student > Bachelor 5 7%
Student > Master 4 6%
Other 9 13%
Unknown 23 34%
Readers by discipline Count As %
Engineering 12 18%
Environmental Science 9 13%
Medicine and Dentistry 3 4%
Agricultural and Biological Sciences 3 4%
Earth and Planetary Sciences 3 4%
Other 6 9%
Unknown 31 46%
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 12 April 2021.
All research outputs
#22,774,430
of 25,387,668 outputs
Outputs from Environmental Science & Technology
#19,600
of 20,684 outputs
Outputs of similar age
#393,702
of 455,091 outputs
Outputs of similar age from Environmental Science & Technology
#238
of 257 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,684 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one is in the 1st percentile – i.e., 1% 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 455,091 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.