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Impact of quantitative safety targets on road fatality reduction: an empirical support toward governance plan

Overview of attention for article published in Frontiers in Public Health, November 2023
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Title
Impact of quantitative safety targets on road fatality reduction: an empirical support toward governance plan
Published in
Frontiers in Public Health, November 2023
DOI 10.3389/fpubh.2023.1271328
Pubmed ID
Authors

Haizhou Cui, Yuliang Guo, Yuchen Li, Jianwei Zhang, Yida Wang, Lin Yang, Jiayi Hu, Hak Kei Wong, Yuxuan Bai, Yang Ma, Faan Chen

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 November 2023.
All research outputs
#22,198,433
of 24,770,025 outputs
Outputs from Frontiers in Public Health
#9,262
of 13,060 outputs
Outputs of similar age
#135,240
of 170,528 outputs
Outputs of similar age from Frontiers in Public Health
#156
of 383 outputs
Altmetric has tracked 24,770,025 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% 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 170,528 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 383 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.