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Short-Term Forecasting of Non-Stationary Time Series

Overview of attention for article published in Engineering Proceedings, July 2024
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1 X user

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13 Mendeley
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Article details
Title
Short-Term Forecasting of Non-Stationary Time Series
Published in
Engineering Proceedings, July 2024
DOI 10.3390/engproc2024068034
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 1 8%
Other 1 8%
Lecturer > Senior Lecturer 1 8%
Student > Master 1 8%
Unknown 9 69%
Readers by discipline
Readers by discipline Count As %
Engineering 3 23%
Mathematics 1 8%
Unknown 9 69%
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 26 February 2025.
All research outputs
#22,881,973
of 28,008,795 outputs
Outputs from Engineering Proceedings
#61
of 107 outputs
Outputs of similar age
#218,620
of 325,664 outputs
Outputs of similar age from Engineering Proceedings
#5
of 11 outputs
Altmetric has tracked 28,008,795 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 107 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 2nd percentile – i.e., 2% 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 325,664 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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.