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Bike Score®: Associations between urban bikeability and cycling behavior in 24 cities

Overview of attention for article published in International Journal of Behavioral Nutrition and Physical Activity, February 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
2 news outlets
twitter
47 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
208 Mendeley
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Title
Bike Score®: Associations between urban bikeability and cycling behavior in 24 cities
Published in
International Journal of Behavioral Nutrition and Physical Activity, February 2016
DOI 10.1186/s12966-016-0339-0
Pubmed ID
Authors

Meghan Winters, Kay Teschke, Michael Brauer, Daniel Fuller

Abstract

There is growing interest in designing cities that support not only walking, but also cycling. Bike Score® is a metric capturing environmental characteristics associated with cycling that is now available for over 160 US and Canadian cities. Our aim was to determine if Bike Score was associated with between and within-city variability in cycling behavior. We used linear regression to model associations between Bike Score and journey to work cycling mode share (US: American Community Survey, 2013 or 2012 5-year estimates; Canada: 2011 National Household Survey) for 5664 census tracts in 24 US and Canadian cities. At the city level, the correlation between mean Bike Score and mean journey to work cycling mode share was moderate (r = 0.52). At the census tract level, the correlation was 0.35; a ten-unit increase in Bike Score was associated with a 0.5 % (95 % CI: 0.5 to 0.6) increase in the proportion of population cycling to work, a meaningful difference given the low modal shares (mean = 1.9 %) in many North American cities. Census tracts with the highest Bike Scores (>90 to 100) had mode shares 4.0 % higher (β = 4.0, 95 % CI: 2.9 to 5.0) than the lowest Bike Score areas (0-25). City specific analyses indicated between-city variability in associations, with regression estimates between Bike Score and mode share ranging from 0.2 to 3.5 %. The Bike Score metric was associated bicycle mode share between and within cities, suggesting its utility for planning bicycle infrastructure.

Twitter Demographics

The data shown below were collected from the profiles of 47 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 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Japan 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 203 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 49 24%
Student > Ph. D. Student 42 20%
Researcher 28 13%
Student > Bachelor 19 9%
Other 10 5%
Other 22 11%
Unknown 38 18%
Readers by discipline Count As %
Engineering 46 22%
Social Sciences 43 21%
Environmental Science 15 7%
Design 8 4%
Computer Science 7 3%
Other 43 21%
Unknown 46 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 31 March 2021.
All research outputs
#635,648
of 21,301,416 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#218
of 1,839 outputs
Outputs of similar age
#13,721
of 376,282 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#2
of 16 outputs
Altmetric has tracked 21,301,416 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,839 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. This one has done well, scoring higher than 88% 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 376,282 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 96% of its contemporaries.
We're also able to compare this research output to 16 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 93% of its contemporaries.