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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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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
15 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

Twitter Demographics

The data shown below were collected from the profiles of 3 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Ph. D. Student 4 27%
Student > Bachelor 3 20%
Professor 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Engineering 5 33%
Environmental Science 3 20%
Medicine and Dentistry 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Earth and Planetary Sciences 1 7%
Other 2 13%
Unknown 1 7%

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 18 April 2021.
All research outputs
#10,995,079
of 18,244,737 outputs
Outputs from Environmental Science & Technology
#13,062
of 17,414 outputs
Outputs of similar age
#171,488
of 326,407 outputs
Outputs of similar age from Environmental Science & Technology
#168
of 392 outputs
Altmetric has tracked 18,244,737 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 17,414 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 22nd percentile – i.e., 22% 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 326,407 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 392 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.