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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Establishing legal limits for driving under the influence of marijuana
|
|---|---|
| Published in |
Injury Epidemiology, October 2014
|
| DOI | 10.1186/s40621-014-0026-z |
| Pubmed ID | |
| Authors |
Kristin Wong, Joanne E Brady, Guohua Li |
| Abstract |
Marijuana has become the most commonly detected non-alcohol substance among drivers in the United States and Europe. Use of marijuana has been shown to impair driving performance and increase crash risk. Due to the lack of standardization in assessing marijuana-induced impairment and limitations of zero tolerance legislation, more jurisdictions are adopting per se laws by specifying a legal limit of Δ(9)-tetrahydrocannabinol (THC) at or above which drivers are prosecuted for driving under the influence of marijuana. This review examines major considerations when developing these threshold THC concentrations and specifics of legal THC limits for drivers adopted by different jurisdictions in the United States and other countries. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Portugal | 1 | 1% |
| Unknown | 81 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 14% |
| Researcher | 11 | 13% |
| Student > Master | 9 | 11% |
| Student > Ph. D. Student | 8 | 10% |
| Other | 6 | 7% |
| Other | 13 | 16% |
| Unknown | 24 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 20% |
| Social Sciences | 8 | 10% |
| Psychology | 7 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 5% |
| Chemistry | 4 | 5% |
| Other | 17 | 20% |
| Unknown | 26 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 20 April 2024.
All research outputs
#1,703,798
of 25,754,670 outputs
Outputs from Injury Epidemiology
#94
of 413 outputs
Outputs of similar age
#19,229
of 275,337 outputs
Outputs of similar age from Injury Epidemiology
#3
of 6 outputs
Altmetric has tracked 25,754,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 413 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.3. This one has done well, scoring higher than 77% 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 275,337 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 6 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.