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Intra-day Forecast of Ground Horizontal Irradiance Using Long Short-term Memory Network (LSTM)

Overview of attention for article published in Journal of the Meteorological Society of Japan, January 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Readers on

mendeley
13 Mendeley
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Title
Intra-day Forecast of Ground Horizontal Irradiance Using Long Short-term Memory Network (LSTM)
Published in
Journal of the Meteorological Society of Japan, January 2020
DOI 10.2151/jmsj.2020-048
Authors

Xiuhong CHEN, Xianglei HUANG, Yifan CAI, Haoming SHEN, Jiayue LU

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 %
Student > Doctoral Student 1 8%
Researcher 1 8%
Unknown 11 85%
Readers by discipline Count As %
Earth and Planetary Sciences 1 8%
Engineering 1 8%
Unknown 11 85%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 October 2020.
All research outputs
#14,399,152
of 25,387,668 outputs
Outputs from Journal of the Meteorological Society of Japan
#552
of 1,021 outputs
Outputs of similar age
#223,670
of 473,401 outputs
Outputs of similar age from Journal of the Meteorological Society of Japan
#31
of 71 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,021 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 44th percentile – i.e., 44% 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 473,401 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 52% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.