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Using distribution models to estimate blooms of phytosanitary cyanobacteria in Brazil

Overview of attention for article published in Biota Neotropica, January 2020
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Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

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28 Mendeley
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Title
Using distribution models to estimate blooms of phytosanitary cyanobacteria in Brazil
Published in
Biota Neotropica, January 2020
DOI 10.1590/1676-0611-bn-2019-0756
Authors

Ariane Guimarães, Pablo Henrique da Silva, Fernanda Melo Carneiro, Daniel Paiva Silva

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 14%
Professor 3 11%
Student > Master 3 11%
Student > Doctoral Student 1 4%
Other 1 4%
Other 4 14%
Unknown 12 43%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 18%
Environmental Science 3 11%
Veterinary Science and Veterinary Medicine 1 4%
Mathematics 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 0 0%
Unknown 17 61%
Attention Score in Context

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 30 March 2020.
All research outputs
#20,667,544
of 25,387,668 outputs
Outputs from Biota Neotropica
#48
of 58 outputs
Outputs of similar age
#356,458
of 473,401 outputs
Outputs of similar age from Biota Neotropica
#12
of 14 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 58 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 8th percentile – i.e., 8% 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 473,401 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.