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Forecasting Different Types of Convective Weather: A Deep Learning Approach

Overview of attention for article published in Journal of Meteorological Research, November 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

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83 Dimensions

Readers on

mendeley
110 Mendeley
Title
Forecasting Different Types of Convective Weather: A Deep Learning Approach
Published in
Journal of Meteorological Research, November 2019
DOI 10.1007/s13351-019-8162-6
Authors

Kanghui Zhou, Yongguang Zheng, Bo Li, Wansheng Dong, Xiaoling Zhang

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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 13%
Student > Ph. D. Student 13 12%
Researcher 10 9%
Student > Doctoral Student 5 5%
Student > Bachelor 5 5%
Other 12 11%
Unknown 51 46%
Readers by discipline Count As %
Computer Science 17 15%
Earth and Planetary Sciences 12 11%
Engineering 10 9%
Environmental Science 4 4%
Mathematics 3 3%
Other 11 10%
Unknown 53 48%
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 10 August 2020.
All research outputs
#7,350,669
of 23,172,045 outputs
Outputs from Journal of Meteorological Research
#12
of 35 outputs
Outputs of similar age
#136,444
of 365,443 outputs
Outputs of similar age from Journal of Meteorological Research
#1
of 2 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 35 research outputs from this source. They receive a mean Attention Score of 3.7. This one scored the same or higher as 23 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 365,443 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 62% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them