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A full ARMA model for counts with bounded support and its application to rainy-days time series

Overview of attention for article published in Stochastic Environmental Research and Risk Assessment, July 2018
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1 X user

Citations

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15 Dimensions

Readers on

mendeley
7 Mendeley
Title
A full ARMA model for counts with bounded support and its application to rainy-days time series
Published in
Stochastic Environmental Research and Risk Assessment, July 2018
DOI 10.1007/s00477-018-1584-3
Authors

Sónia Gouveia, Tobias A. Möller, Christian H. Weiß, Manuel G. Scotto

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Bachelor 2 29%
Professor 1 14%
Professor > Associate Professor 1 14%
Unknown 1 14%
Readers by discipline Count As %
Mathematics 2 29%
Chemical Engineering 1 14%
Computer Science 1 14%
Engineering 1 14%
Unknown 2 29%
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 23 July 2018.
All research outputs
#16,060,819
of 23,839,820 outputs
Outputs from Stochastic Environmental Research and Risk Assessment
#142
of 239 outputs
Outputs of similar age
#211,473
of 330,640 outputs
Outputs of similar age from Stochastic Environmental Research and Risk Assessment
#5
of 6 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 239 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 20th percentile – i.e., 20% 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 330,640 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.