↓ Skip to main content

Trend shifts in road traffic collisions: An application of Hidden Markov Models and Generalised Additive Models to assess the impact of the 20 mph speed limit policy in Edinburgh

Overview of attention for article published in Environment and Planning B: Urban Analytics and City Science, January 2021
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 306)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
2 news outlets
twitter
32 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
5 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.
Title
Trend shifts in road traffic collisions: An application of Hidden Markov Models and Generalised Additive Models to assess the impact of the 20 mph speed limit policy in Edinburgh
Published in
Environment and Planning B: Urban Analytics and City Science, January 2021
DOI 10.1177/2399808320985524
Authors

Valentin Popov, Glenna Nightingale, Andrew James Williams, Paul Kelly, Ruth Jepson, Karen Milton, Michael Kelly

Twitter Demographics

The data shown below were collected from the profiles of 32 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Researcher 1 20%
Other 1 20%
Unknown 1 20%
Readers by discipline Count As %
Psychology 1 20%
Economics, Econometrics and Finance 1 20%
Engineering 1 20%
Unknown 2 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 05 February 2021.
All research outputs
#711,523
of 21,470,856 outputs
Outputs from Environment and Planning B: Urban Analytics and City Science
#10
of 306 outputs
Outputs of similar age
#20,980
of 418,469 outputs
Outputs of similar age from Environment and Planning B: Urban Analytics and City Science
#1
of 18 outputs
Altmetric has tracked 21,470,856 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 306 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 418,469 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 18 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 99% of its contemporaries.