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Modelling daily rainfall with climatological predictors: Poisson‐gamma generalized linear modelling approach

Overview of attention for article published in International Journal of Climatology, June 2016
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1 X user

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25 Mendeley
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Article details
Title
Modelling daily rainfall with climatological predictors: Poisson‐gamma generalized linear modelling approach
Published in
International Journal of Climatology, June 2016
DOI 10.1002/joc.4784
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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 8 32%
Student > Ph. D. Student 5 20%
Lecturer 2 8%
Student > Bachelor 2 8%
Student > Master 2 8%
Other 2 8%
Unknown 4 16%
Readers by discipline
Readers by discipline Count As %
Engineering 6 24%
Earth and Planetary Sciences 5 20%
Environmental Science 4 16%
Mathematics 4 16%
Unspecified 1 4%
Other 0 0%
Unknown 5 20%
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 10 June 2016.
All research outputs
#22,012,573
of 24,561,012 outputs
Outputs from International Journal of Climatology
#3,278
of 3,741 outputs
Outputs of similar age
#307,856
of 351,804 outputs
Outputs of similar age from International Journal of Climatology
#54
of 94 outputs
Altmetric has tracked 24,561,012 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,741 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 351,804 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.