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Predicting cyanobacterial abundance, microcystin, and geosmin in a eutrophic drinking-water reservoir using a 14-year dataset

Overview of attention for article published in Lake and Reservoir Management, January 2017
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Mentioned by

twitter
1 tweeter

Citations

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4 Dimensions

Readers on

mendeley
32 Mendeley
Title
Predicting cyanobacterial abundance, microcystin, and geosmin in a eutrophic drinking-water reservoir using a 14-year dataset
Published in
Lake and Reservoir Management, January 2017
DOI 10.1080/10402381.2016.1263694
Authors

Ted D. Harris, Jennifer L. Graham

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

Geographical breakdown

Country Count As %
Japan 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 22%
Researcher 5 16%
Student > Ph. D. Student 4 13%
Unspecified 4 13%
Professor 3 9%
Other 9 28%
Readers by discipline Count As %
Environmental Science 11 34%
Agricultural and Biological Sciences 6 19%
Unspecified 6 19%
Engineering 3 9%
Earth and Planetary Sciences 2 6%
Other 4 13%

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 10 January 2017.
All research outputs
#6,766,384
of 8,882,101 outputs
Outputs from Lake and Reservoir Management
#113
of 136 outputs
Outputs of similar age
#213,514
of 301,806 outputs
Outputs of similar age from Lake and Reservoir Management
#7
of 8 outputs
Altmetric has tracked 8,882,101 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 136 research outputs from this source. They receive a mean Attention Score of 2.7. 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 301,806 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.