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Attention Score in Context
| Title |
A Comparative Evaluation of Self-Attention Mechanism with ConvLSTM Model for Global Aerosol Time Series Forecasting
|
|---|---|
| Published in |
Mathematics, April 2023
|
| DOI | 10.3390/math11071744 |
| Authors |
Dušan S. Radivojević, Ivan M. Lazović, Nikola S. Mirkov, Uzahir R. Ramadani, Dušan P. Nikezić |
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 19 March 2023.
All research outputs
#15,853,124
of 23,556,846 outputs
Outputs from Mathematics
#831
of 2,604 outputs
Outputs of similar age
#140,651
of 259,224 outputs
Outputs of similar age from Mathematics
#16
of 55 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,604 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 36th percentile – i.e., 36% 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 259,224 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.