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A Fusion Deep Learning Model via Sequence-to-Sequence Structure for Multiple-Road-Segment Spot Speed Prediction

Overview of attention for article published in IEEE Intelligent Transportation Systems Magazine, March 2022
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Title
A Fusion Deep Learning Model via Sequence-to-Sequence Structure for Multiple-Road-Segment Spot Speed Prediction
Published in
IEEE Intelligent Transportation Systems Magazine, March 2022
DOI 10.1109/mits.2022.3158631
Authors

Dongyi Li, Jianjun Wang

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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 16 June 2022.
All research outputs
#14,925,951
of 25,392,582 outputs
Outputs from IEEE Intelligent Transportation Systems Magazine
#117
of 197 outputs
Outputs of similar age
#200,007
of 446,964 outputs
Outputs of similar age from IEEE Intelligent Transportation Systems Magazine
#1
of 14 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 197 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 446,964 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 54% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.