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Using Crash Outcome Data Evaluation System (CODES) to examine injury in front vs. rear-seated infants and children involved in a motor vehicle crash in New York State

Overview of attention for article published in Injury Epidemiology, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
1 X user

Readers on

mendeley
14 Mendeley
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Title
Using Crash Outcome Data Evaluation System (CODES) to examine injury in front vs. rear-seated infants and children involved in a motor vehicle crash in New York State
Published in
Injury Epidemiology, June 2021
DOI 10.1186/s40621-021-00328-8
Pubmed ID
Authors

Michael Bauer, Leah Hines, Emilia Pawlowski, Jin Luo, Anne Scott, Matthew Garnett, Morgan Uriell, Joyce C. Pressley

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 14%
Student > Doctoral Student 2 14%
Unknown 10 71%
Readers by discipline Count As %
Engineering 2 14%
Environmental Science 1 7%
Medicine and Dentistry 1 7%
Computer Science 1 7%
Unknown 9 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 May 2022.
All research outputs
#8,135,133
of 25,109,675 outputs
Outputs from Injury Epidemiology
#234
of 397 outputs
Outputs of similar age
#162,522
of 437,438 outputs
Outputs of similar age from Injury Epidemiology
#8
of 13 outputs
Altmetric has tracked 25,109,675 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.3. This one is in the 41st percentile – i.e., 41% 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 437,438 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 62% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.