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Penalized estimation of flexible hidden Markov models for time series of counts

Overview of attention for article published in METRON, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
14 Mendeley
Title
Penalized estimation of flexible hidden Markov models for time series of counts
Published in
METRON, June 2019
DOI 10.1007/s40300-019-00153-6
Authors

Timo Adam, Roland Langrock, Christian H. Weiß

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Student > Doctoral Student 2 14%
Student > Bachelor 2 14%
Researcher 2 14%
Professor 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Mathematics 4 29%
Agricultural and Biological Sciences 3 21%
Environmental Science 2 14%
Engineering 2 14%
Economics, Econometrics and Finance 1 7%
Other 1 7%
Unknown 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 June 2019.
All research outputs
#7,402,052
of 24,549,201 outputs
Outputs from METRON
#11
of 32 outputs
Outputs of similar age
#125,580
of 357,445 outputs
Outputs of similar age from METRON
#4
of 4 outputs
Altmetric has tracked 24,549,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 32 research outputs from this source. They receive a mean Attention Score of 3.5. This one scored the same or higher as 21 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 357,445 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 64% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.