↓ Skip to main content

Markov-Switching Linked Autoregressive Model for Non-continuous Wind Direction Data

Overview of attention for article published in Journal of Agricultural, Biological and Environmental Statistics, July 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
6 Mendeley
Title
Markov-Switching Linked Autoregressive Model for Non-continuous Wind Direction Data
Published in
Journal of Agricultural, Biological and Environmental Statistics, July 2018
DOI 10.1007/s13253-018-0331-z
Authors

Xiaoping Zhan, Tiefeng Ma, Shuangzhe Liu, Kunio Shimizu

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 17%
Student > Master 1 17%
Unknown 4 67%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 17%
Agricultural and Biological Sciences 1 17%
Engineering 1 17%
Unknown 3 50%
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 20 November 2018.
All research outputs
#16,291,311
of 23,999,200 outputs
Outputs from Journal of Agricultural, Biological and Environmental Statistics
#117
of 170 outputs
Outputs of similar age
#213,529
of 332,563 outputs
Outputs of similar age from Journal of Agricultural, Biological and Environmental Statistics
#5
of 5 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 170 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 19th percentile – i.e., 19% 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 332,563 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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.