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Predicting recreational water quality advisories: A comparison of statistical methods

Overview of attention for article published in Environmental Modelling & Software, February 2016
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Predicting recreational water quality advisories: A comparison of statistical methods
Published in
Environmental Modelling & Software, February 2016
DOI 10.1016/j.envsoft.2015.10.012
Authors

Wesley Brooks, Steven Corsi, Michael Fienen, Rebecca Carvin

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

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 11 21%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Other 9 17%
Unknown 6 12%
Readers by discipline Count As %
Environmental Science 14 27%
Engineering 10 19%
Computer Science 4 8%
Agricultural and Biological Sciences 3 6%
Business, Management and Accounting 2 4%
Other 5 10%
Unknown 14 27%

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 28 November 2015.
All research outputs
#7,653,798
of 12,246,964 outputs
Outputs from Environmental Modelling & Software
#521
of 754 outputs
Outputs of similar age
#165,648
of 319,778 outputs
Outputs of similar age from Environmental Modelling & Software
#20
of 33 outputs
Altmetric has tracked 12,246,964 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 754 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 17th percentile – i.e., 17% 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 319,778 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.