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Using Machine Learning to Predict Pedestrian Compliance at Crosswalks in Jordan

Overview of attention for article published in Applied Sciences, June 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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
4 Mendeley
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Title
Using Machine Learning to Predict Pedestrian Compliance at Crosswalks in Jordan
Published in
Applied Sciences, June 2024
DOI 10.3390/app14114945
Authors

Madhar M. Taamneh, Ahmad H. Alomari, Salah M. Taamneh

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Researcher 1 25%
Unknown 2 50%
Readers by discipline Count As %
Unspecified 1 25%
Unknown 3 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 18 June 2024.
All research outputs
#3,557,562
of 26,166,431 outputs
Outputs from Applied Sciences
#441
of 15,882 outputs
Outputs of similar age
#25,741
of 194,866 outputs
Outputs of similar age from Applied Sciences
#3
of 104 outputs
Altmetric has tracked 26,166,431 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,882 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 97% 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 194,866 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 87% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.