↓ Skip to main content

Predicting redox‐sensitive contaminant concentrations in groundwater using random forest classification

Overview of attention for article published in Water Resources Research, August 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
99 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Predicting redox‐sensitive contaminant concentrations in groundwater using random forest classification
Published in
Water Resources Research, August 2017
DOI 10.1002/2016wr020197
Authors

Anthony J. Tesoriero, Jo Ann Gronberg, Paul F. Juckem, Matthew P. Miller, Brian P. Austin

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

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 20%
Student > Master 15 15%
Researcher 11 11%
Professor 5 5%
Student > Doctoral Student 5 5%
Other 12 12%
Unknown 31 31%
Readers by discipline Count As %
Environmental Science 21 21%
Earth and Planetary Sciences 16 16%
Engineering 12 12%
Computer Science 4 4%
Agricultural and Biological Sciences 3 3%
Other 6 6%
Unknown 37 37%
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 17 January 2018.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from Water Resources Research
#4,479
of 4,892 outputs
Outputs of similar age
#277,186
of 317,355 outputs
Outputs of similar age from Water Resources Research
#70
of 74 outputs
Altmetric has tracked 22,999,744 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 4,892 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 317,355 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 74 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.