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iETS: State space model for intermittent demand forecasting

Overview of attention for article published in International Journal of Production Economics, November 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
21 Mendeley
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Title
iETS: State space model for intermittent demand forecasting
Published in
International Journal of Production Economics, November 2023
DOI 10.1016/j.ijpe.2023.109013
Authors

Ivan Svetunkov, John E. Boylan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 14%
Researcher 1 5%
Lecturer 1 5%
Other 1 5%
Lecturer > Senior Lecturer 1 5%
Other 0 0%
Unknown 14 67%
Readers by discipline Count As %
Unspecified 3 14%
Business, Management and Accounting 3 14%
Unknown 15 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 September 2023.
All research outputs
#3,802,284
of 25,394,764 outputs
Outputs from International Journal of Production Economics
#51
of 923 outputs
Outputs of similar age
#59,828
of 357,109 outputs
Outputs of similar age from International Journal of Production Economics
#1
of 8 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 923 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 93% of its peers.
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 357,109 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 8 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