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Data-driven transfer learning framework for estimating on-ramp and off-ramp traffic flows

Overview of attention for article published in Journal of Intelligent Transportation Systems, January 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

news
1 news outlet

Citations

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1 Dimensions
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Title
Data-driven transfer learning framework for estimating on-ramp and off-ramp traffic flows
Published in
Journal of Intelligent Transportation Systems, January 2024
DOI 10.1080/15472450.2023.2301696
Authors

Xiaobo Ma, Abolfazl Karimpour, Yao-Jan Wu

Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 January 2024.
All research outputs
#4,775,180
of 25,195,876 outputs
Outputs from Journal of Intelligent Transportation Systems
#4
of 92 outputs
Outputs of similar age
#33,907
of 180,401 outputs
Outputs of similar age from Journal of Intelligent Transportation Systems
#1
of 1 outputs
Altmetric has tracked 25,195,876 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 92 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 95% 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 180,401 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1 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