↓ Skip to main content

Analyzing Factors Associated with Fatal Road Crashes: A Machine Learning Approach

Overview of attention for article published in International Journal of Environmental Research and Public Health, June 2020
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
10 X users

Readers on

mendeley
218 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Analyzing Factors Associated with Fatal Road Crashes: A Machine Learning Approach
Published in
International Journal of Environmental Research and Public Health, June 2020
DOI 10.3390/ijerph17114111
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 218 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 20 9%
Student > Ph. D. Student 14 6%
Lecturer 12 6%
Student > Bachelor 12 6%
Student > Doctoral Student 7 3%
Other 31 14%
Unknown 122 56%
Readers by discipline
Readers by discipline Count As %
Engineering 42 19%
Computer Science 9 4%
Medicine and Dentistry 8 4%
Mathematics 6 3%
Unspecified 5 2%
Other 23 11%
Unknown 125 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 June 2020.
All research outputs
#7,101,359
of 27,789,879 outputs
Outputs from International Journal of Environmental Research and Public Health
#10,275
of 33,103 outputs
Outputs of similar age
#136,022
of 438,803 outputs
Outputs of similar age from International Journal of Environmental Research and Public Health
#455
of 1,294 outputs
Altmetric has tracked 27,789,879 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 33,103 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has gotten more attention than average, scoring higher than 68% 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 438,803 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 68% of its contemporaries.
We're also able to compare this research output to 1,294 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.