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Forecasting Sunspot Time Series Using Deep Learning Methods

Overview of attention for article published in Solar Physics, May 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
72 Dimensions

Readers on

mendeley
60 Mendeley
Title
Forecasting Sunspot Time Series Using Deep Learning Methods
Published in
Solar Physics, May 2019
DOI 10.1007/s11207-019-1434-6
Authors

Zeydin Pala, Ramazan Atici

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 13%
Student > Master 6 10%
Researcher 5 8%
Professor > Associate Professor 3 5%
Student > Doctoral Student 2 3%
Other 10 17%
Unknown 26 43%
Readers by discipline Count As %
Computer Science 13 22%
Engineering 6 10%
Physics and Astronomy 3 5%
Economics, Econometrics and Finance 2 3%
Earth and Planetary Sciences 2 3%
Other 4 7%
Unknown 30 50%
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 28 February 2020.
All research outputs
#6,895,188
of 24,080,653 outputs
Outputs from Solar Physics
#633
of 1,654 outputs
Outputs of similar age
#123,606
of 354,150 outputs
Outputs of similar age from Solar Physics
#20
of 44 outputs
Altmetric has tracked 24,080,653 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,654 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 61% of its peers.
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 354,150 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 44 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.