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A flexible univariate moving average time-series model for dispersed count data

Overview of attention for article published in Journal of Statistical Distributions and Applications , February 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

policy
1 policy source
twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
5 Mendeley
Title
A flexible univariate moving average time-series model for dispersed count data
Published in
Journal of Statistical Distributions and Applications , February 2021
DOI 10.1186/s40488-021-00115-2
Authors

Kimberly F. Sellers, Ali Arab, Sean Melville, Fanyu Cui

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Doctoral Student 1 20%
Unknown 3 60%
Readers by discipline Count As %
Mathematics 1 20%
Unknown 4 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 January 2022.
All research outputs
#6,531,405
of 25,658,541 outputs
Outputs from Journal of Statistical Distributions and Applications
#4
of 41 outputs
Outputs of similar age
#140,269
of 453,705 outputs
Outputs of similar age from Journal of Statistical Distributions and Applications
#1
of 1 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 41 research outputs from this source. They receive a mean Attention Score of 2.2. This one scored the same or higher as 37 of them.
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 453,705 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them