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Elucidating controls on cyanobacteria bloom timing and intensity via Bayesian mechanistic modeling

Overview of attention for article published in Science of the Total Environment, February 2021
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Mentioned by

twitter
2 tweeters

Citations

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2 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Elucidating controls on cyanobacteria bloom timing and intensity via Bayesian mechanistic modeling
Published in
Science of the Total Environment, February 2021
DOI 10.1016/j.scitotenv.2020.142487
Pubmed ID
Authors

Dario Del Giudice, Shiqi Fang, Donald Scavia, Timothy W. Davis, Mary Anne Evans, Daniel R. Obenour

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 36%
Student > Bachelor 3 14%
Professor > Associate Professor 2 9%
Student > Master 1 5%
Researcher 1 5%
Other 1 5%
Unknown 6 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 23%
Engineering 3 14%
Environmental Science 3 14%
Unspecified 1 5%
Arts and Humanities 1 5%
Other 0 0%
Unknown 9 41%

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 12 October 2020.
All research outputs
#15,293,130
of 19,097,846 outputs
Outputs from Science of the Total Environment
#14,580
of 19,405 outputs
Outputs of similar age
#241,986
of 325,420 outputs
Outputs of similar age from Science of the Total Environment
#604
of 797 outputs
Altmetric has tracked 19,097,846 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,405 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 14th percentile – i.e., 14% 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 325,420 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 797 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.