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Using matrix frame to present road traffic injury pattern

Overview of attention for article published in Injury Epidemiology, April 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

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2 Dimensions

Readers on

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3 Mendeley
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Title
Using matrix frame to present road traffic injury pattern
Published in
Injury Epidemiology, April 2018
DOI 10.1186/s40621-018-0154-y
Pubmed ID
Authors

Chien-Hsing Wang, Wan-Hua Hsieh, Fu-Wen Liang, Tsung-Hsueh Lu

Abstract

Although many epidemiological studies have presented road traffic injuries (RTIs) according to the victim's mode of transport, very few have mentioned the mode of transport of the victim's counterparts. We sought to use matrix frame to present the pattern of RTIs based on the International Classification of Diseases, Tenth Revision (ICD-10) codes. Patients admitted to Hualien Tzu Chi Hospital, Taiwan, for RTIs from January 1, 2013 to December 31, 2016 were included. The numbers and proportions of various crash types of RTIs were presented using a matrix frame. The row margin of the matrix is the second character of ICD-10 codes V00-V79 (victim's mode of transport), and the column margin of the matrix is the third character of ICD-10 codes V00-V79 (mode of transport of victim's counterpart), constituting a 80-cell grid. In total, 2727 patients were included. The cell with the highest proportion in the matrix grid was ICD-10 code V23 "motorcycle rider injured in collision with car, pick-up truck or van" (27.0%, 737/2727), followed by that of V27 "motorcycle rider injured in collision with fixed or stationary object" (12.5%, 342/2727) and V28 "motorcycle rider injured in noncollision transport accident" (12.2%, 334/2727). The matrix pattern of RTIs differed with sex and age. By using the matrix frame, we can easily understand the RTI pattern for different demographic groups and identify the priority crash types.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 67%
Lecturer 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Nursing and Health Professions 2 67%
Computer Science 1 33%
Engineering 1 33%

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 23 April 2018.
All research outputs
#2,948,150
of 12,840,843 outputs
Outputs from Injury Epidemiology
#72
of 132 outputs
Outputs of similar age
#79,328
of 269,806 outputs
Outputs of similar age from Injury Epidemiology
#2
of 5 outputs
Altmetric has tracked 12,840,843 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 269,806 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.