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

Overview of attention for article published in Water Resources Research, August 2017
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Mentioned by

twitter
1 tweeter

Citations

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56 Dimensions

Readers on

mendeley
74 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Researcher 11 15%
Student > Master 11 15%
Professor 5 7%
Student > Doctoral Student 5 7%
Other 8 11%
Unknown 17 23%
Readers by discipline Count As %
Environmental Science 20 27%
Earth and Planetary Sciences 14 19%
Engineering 7 9%
Computer Science 4 5%
Agricultural and Biological Sciences 2 3%
Other 3 4%
Unknown 24 32%

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
#15,957,378
of 18,062,643 outputs
Outputs from Water Resources Research
#3,919
of 4,296 outputs
Outputs of similar age
#239,631
of 279,644 outputs
Outputs of similar age from Water Resources Research
#61
of 63 outputs
Altmetric has tracked 18,062,643 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 4,296 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. 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 279,644 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 63 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.