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Describing and comparing the characteristics of injured bicyclists and other injured road users: a prospective cohort study

Overview of attention for article published in BMC Public Health, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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28 X users

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Title
Describing and comparing the characteristics of injured bicyclists and other injured road users: a prospective cohort study
Published in
BMC Public Health, April 2016
DOI 10.1186/s12889-016-2988-y
Pubmed ID
Authors

Bamini Gopinath, Jagnoor Jagnoor, Ashley Craig, Annette Kifley, Michael Dinh, Rebecca Ivers, Soufiane Boufous, Ian D. Cameron

Abstract

We aimed to establish the frequency and characteristics (e.g. socioeconomic, pre-injury, and crash-related parameters) of injured bicyclists and other injured road users. 748 participants aged ≥17 years who had sustained a minor or non-catastrophic injury in a land-transport crash, were interviewed after presenting to a metro hospital emergency department in New South Wales, Australia. A telephone-administered questionnaire obtained information on socio-economic, pre-injury health, and crash-related characteristics. These factors were then compared between injured bicyclists and other road users (car driver/passengers, motorcyclists/pillion and pedestrians/skateboarders). Cycling injury severity was characterized by three metrics (sustaining multiple injuries; hospital admission for ≥12 h; and sustaining a head/neck and/or facial injury). In this cohort of people with injuries, 238 (32 %) were bicyclists. Frequency of cycling injuries were significantly different between age-groups among men (p = 0.0002), and were more common in men aged 45-59. Bicyclists were more likely to be aged 45-59, married, have university/tertiary qualifications and have a professional occupation compared to other road users (all p <0.0001). Bicyclists compared to participants involved in other types of land transport crashes were more likely to self-report excellent general health (p = 0.01), and were less likely to report a great/overwhelming perceived danger of death or 15.0 % versus 23-41 %; p <0.0001). Frequency of upper extremity and lower extremity injuries in bicyclists were 81.9 % and 60.5 %, respectively. Explanatory variables significantly associated with injury severity metrics were age, education level, paid work status and perceived danger of death/disability in the crash. Minor cycling injuries were a relatively common cause of mild-moderate injury presentations to metro emergency departments. A wide spectrum of socio-demographic-, pre-injury-, and crash-related characteristics were related to cycling injuries.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 106 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 16%
Researcher 12 11%
Student > Ph. D. Student 10 9%
Student > Bachelor 9 8%
Student > Doctoral Student 5 5%
Other 17 16%
Unknown 37 35%
Readers by discipline Count As %
Medicine and Dentistry 24 22%
Nursing and Health Professions 11 10%
Social Sciences 9 8%
Psychology 4 4%
Engineering 3 3%
Other 13 12%
Unknown 43 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 04 May 2016.
All research outputs
#1,906,072
of 24,860,845 outputs
Outputs from BMC Public Health
#2,137
of 16,509 outputs
Outputs of similar age
#31,082
of 306,426 outputs
Outputs of similar age from BMC Public Health
#44
of 206 outputs
Altmetric has tracked 24,860,845 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 87% 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 306,426 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 206 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.