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Severity Prediction of Traffic Accidents with Recurrent Neural Networks

Overview of attention for article published in Applied Sciences, June 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
138 Dimensions

Readers on

mendeley
240 Mendeley
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Title
Severity Prediction of Traffic Accidents with Recurrent Neural Networks
Published in
Applied Sciences, June 2017
DOI 10.3390/app7060476
Authors

Maher Ibrahim Sameen, Biswajeet Pradhan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 240 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 15%
Student > Ph. D. Student 22 9%
Student > Bachelor 19 8%
Researcher 17 7%
Student > Doctoral Student 15 6%
Other 41 17%
Unknown 89 37%
Readers by discipline Count As %
Engineering 82 34%
Computer Science 33 14%
Mathematics 5 2%
Unspecified 4 2%
Medicine and Dentistry 3 1%
Other 13 5%
Unknown 100 42%
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 21 November 2019.
All research outputs
#7,802,118
of 24,220,739 outputs
Outputs from Applied Sciences
#1,359
of 13,092 outputs
Outputs of similar age
#118,582
of 321,121 outputs
Outputs of similar age from Applied Sciences
#19
of 194 outputs
Altmetric has tracked 24,220,739 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 13,092 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done well, scoring higher than 89% 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 321,121 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 62% of its contemporaries.
We're also able to compare this research output to 194 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 90% of its contemporaries.