↓ Skip to main content

A probabilistic track model for tropical cyclone risk assessment using multitask learning

Overview of attention for article published in Frontiers in Energy Research, September 2023
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A probabilistic track model for tropical cyclone risk assessment using multitask learning
Published in
Frontiers in Energy Research, September 2023
DOI 10.3389/fenrg.2023.1277412
Authors

Zhou Jian, Xuan Liu, Tianyang Zhao

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 29 September 2023.
All research outputs
#21,978,489
of 24,522,750 outputs
Outputs from Frontiers in Energy Research
#1,423
of 4,089 outputs
Outputs of similar age
#136,449
of 169,122 outputs
Outputs of similar age from Frontiers in Energy Research
#8
of 145 outputs
Altmetric has tracked 24,522,750 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,089 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 1st percentile – i.e., 1% 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 169,122 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 145 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.