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Use of predictive models and rapid methods to nowcast bacteria levels at coastal beaches

Overview of attention for article published in Aquatic Ecosystem Health & Management, May 2009
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About this Attention Score

  • Among the highest-scoring outputs from this source (#40 of 166)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Use of predictive models and rapid methods to nowcast bacteria levels at coastal beaches
Published in
Aquatic Ecosystem Health & Management, May 2009
DOI 10.1080/14634980902905767
Authors

Donna S. Francy

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Student > Master 7 21%
Student > Ph. D. Student 6 18%
Other 2 6%
Student > Doctoral Student 2 6%
Other 2 6%
Unknown 8 24%
Readers by discipline Count As %
Environmental Science 8 24%
Engineering 8 24%
Medicine and Dentistry 3 9%
Agricultural and Biological Sciences 2 6%
Social Sciences 2 6%
Other 2 6%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 September 2012.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Aquatic Ecosystem Health & Management
#40
of 166 outputs
Outputs of similar age
#36,806
of 102,428 outputs
Outputs of similar age from Aquatic Ecosystem Health & Management
#3
of 5 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 166 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 102,428 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.