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On consistency and sparsity for high-dimensional functional time series with application to autoregressions

Overview of attention for article published in Bernoulli, February 2023
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Mentioned by

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2 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
13 Mendeley
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Title
On consistency and sparsity for high-dimensional functional time series with application to autoregressions
Published in
Bernoulli, February 2023
DOI 10.3150/22-bej1464
Authors

Shaojun Guo, Xinghao Qiao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 8%
Student > Doctoral Student 1 8%
Student > Ph. D. Student 1 8%
Student > Master 1 8%
Researcher 1 8%
Other 1 8%
Unknown 7 54%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 15%
Mathematics 1 8%
Arts and Humanities 1 8%
Psychology 1 8%
Social Sciences 1 8%
Other 0 0%
Unknown 7 54%
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 09 January 2023.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from Bernoulli
#187
of 449 outputs
Outputs of similar age
#331,058
of 471,974 outputs
Outputs of similar age from Bernoulli
#4
of 5 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 449 research outputs from this source. They receive a mean Attention Score of 1.8. This one is in the 46th percentile – i.e., 46% 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 471,974 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.