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High road utilizers surveys compared to police data for road traffic crash hotspot localization in Rwanda and Sri Lanka

Overview of attention for article published in BMC Public Health, January 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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8 X users

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6 Dimensions

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72 Mendeley
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Title
High road utilizers surveys compared to police data for road traffic crash hotspot localization in Rwanda and Sri Lanka
Published in
BMC Public Health, January 2016
DOI 10.1186/s12889-015-2609-1
Pubmed ID
Authors

Catherine A. Staton, Vijitha De Silva, Elizabeth Krebs, Luciano Andrade, Stephen Rulisa, Badra Chandanie Mallawaarachchi, Kezhi Jin, Joao RicardoVissoci, Truls Østbye

Abstract

Road traffic crashes (RTCs) are a leading cause of death. In low and middle income countries (LMIC) data to conduct hotspot analyses and safety audits are usually incomplete, poor quality, and not computerized. Police data are often limited, but there are no alternative gold standards. This project evaluates high road utilizer surveys as an alternative to police data to identify RTC hotspots. Retrospective police RTC data was compared to prospective data from high road utilizer surveys regarding dangerous road locations. Spatial analysis using geographic information systems was used to map dangerous locations and identify RTC hotspots. We assessed agreement (Cohen's Kappa), sensitivity/specificity, and cost differences. In Rwanda police data identified 1866 RTC locations from 2589 records while surveys identified 1264 locations from 602 surveys. In Sri Lanka, police data identified 721 RTC locations from 752 records while survey data found 3000 locations from 300 surveys. There was high agreement (97 %, 83 %) and kappa (0.60, 0.60) for Rwanda and Sri Lanka respectively. Sensitivity and specificity are 92 % and 95 % for Rwanda and 74 % and 93 % for Sri Lanka. The cost per crash location identified was $2.88 for police and $2.75 for survey data in Rwanda and $2.75 for police and $1.21 for survey data in Sri Lanka. Surveys to locate RTC hotspots have high sensitivity and specificity compared to police data. Therefore, surveys can be a viable, inexpensive, and rapid alternative to the use of police data in LMIC.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 22%
Student > Ph. D. Student 9 13%
Researcher 8 11%
Student > Doctoral Student 6 8%
Student > Postgraduate 6 8%
Other 13 18%
Unknown 14 19%
Readers by discipline Count As %
Nursing and Health Professions 14 19%
Medicine and Dentistry 12 17%
Engineering 11 15%
Agricultural and Biological Sciences 3 4%
Social Sciences 3 4%
Other 12 17%
Unknown 17 24%
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 14 February 2016.
All research outputs
#5,588,662
of 22,842,950 outputs
Outputs from BMC Public Health
#5,522
of 14,883 outputs
Outputs of similar age
#90,045
of 394,766 outputs
Outputs of similar age from BMC Public Health
#90
of 264 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,883 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 62% 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 394,766 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 77% of its contemporaries.
We're also able to compare this research output to 264 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 65% of its contemporaries.