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BikeMaps.org: A Global Tool for Collision and Near Miss Mapping

Overview of attention for article published in Frontiers in Public Health, March 2015
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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20 X users
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2 Facebook pages
reddit
1 Redditor

Citations

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64 Dimensions

Readers on

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116 Mendeley
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Title
BikeMaps.org: A Global Tool for Collision and Near Miss Mapping
Published in
Frontiers in Public Health, March 2015
DOI 10.3389/fpubh.2015.00053
Pubmed ID
Authors

Trisalyn A. Nelson, Taylor Denouden, Benjamin Jestico, Karen Laberee, Meghan Winters

Abstract

There are many public health benefits to cycling, such as chronic disease reduction and improved air quality. Real and perceived concerns about safety are primary barriers to new ridership. Due to limited forums for official reporting of cycling incidents, lack of comprehensive data is limiting our ability to study cycling safety and conduct surveillance. Our goal is to introduce BikeMaps.org, a new website developed by the authors for crowd-source mapping of cycling collisions and near misses. BikeMaps.org is a global mapping system that allows citizens to map locations of cycling incidents and report on the nature of the event. Attributes collected are designed for spatial modeling research on predictors of safety and risk, and to aid surveillance and planning. Released in October 2014, within 2 months the website had more than 14,000 visitors and mapping in 14 countries. Collisions represent 38% of reports (134/356) and near misses 62% (222/356). In our pilot city, Victoria, Canada, citizens mapped data equivalent to about 1 year of official cycling collision reports within 2 months via BikeMaps.org. Using report completeness as an indicator, early reports indicate that data are of high quality with 50% being fully attributed and another 10% having only one missing attribute. We are advancing this technology, with the development of a mobile App, improved data visualization, real-time altering of hazard reports, and automated open-source tools for data sharing. Researchers and citizens interested in utilizing the BikeMaps.org technology can get involved by encouraging citizen mapping in their region.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 <1%
Unknown 113 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 22%
Researcher 17 15%
Student > Ph. D. Student 14 12%
Student > Doctoral Student 9 8%
Other 4 3%
Other 17 15%
Unknown 30 26%
Readers by discipline Count As %
Social Sciences 22 19%
Engineering 9 8%
Computer Science 9 8%
Medicine and Dentistry 9 8%
Environmental Science 8 7%
Other 20 17%
Unknown 39 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 October 2017.
All research outputs
#1,974,891
of 22,982,639 outputs
Outputs from Frontiers in Public Health
#740
of 10,148 outputs
Outputs of similar age
#27,354
of 264,318 outputs
Outputs of similar age from Frontiers in Public Health
#9
of 73 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,148 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has done particularly well, scoring higher than 92% 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 264,318 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 89% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.