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Using ethyl glucuronide in urine to detect light and heavy drinking in alcohol dependent outpatients

Overview of attention for article published in Drug & Alcohol Dependence, October 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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1 news outlet
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7 X users
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1 Facebook page
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14 Redditors

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82 Mendeley
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Article details
Title
Using ethyl glucuronide in urine to detect light and heavy drinking in alcohol dependent outpatients
Published in
Drug & Alcohol Dependence, October 2015
DOI 10.1016/j.drugalcdep.2015.10.004
Pubmed ID
Authors
Abstract

This study investigated which ethyl glucuronide immunoassay (EtG-I) cutoff best detects heavy versus light drinking over five days in alcohol dependent outpatients. A total of 121 adults with alcohol use disorders and co-occurring psychiatric disorders took part in an alcohol treatment study. Participants provided self-reported drinking data and urine samples three times per week for 16-weeks (total samples=2761). Agreement between low (100ng/mL, 200ng/mL), and moderate (500ng/mL) EtG-I cutoffs and light (women ≤3 standard drinks, men ≤4 standard drinks) and heavy drinking (women >3, men >4 standard drinks) were calculated over one to five days. The 100ng/mL cutoff detected >76% of light drinking for two days, and 66% at five days. The 100ng/mL cutoff detected 84% (1 day) to 79% (5 days) of heavy drinking. The 200ng/mL cutoff detected >55% of light drinking across five days and >66% of heavy drinking across five days. A 500ng/mL cutoff identified 68% of light drinking and 78% of heavy drinking for one day, with detection of light (2-5 days <58%) and heavy drinking (2-5 days <71%) decreasing thereafter. Relative to 100ng/mL, the 200ng/mL and 500ng/mL cutoffs were less likely to result in false positives. An EtG-I cutoff of 100ng/mL is most likely to detect heavy drinking for up to five days and any drinking during the previous two days. Cutoffs of ≥500ng/mL are likely to only detect heavy drinking during the previous day.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 13 16%
Researcher 12 15%
Student > Master 6 7%
Professor > Associate Professor 6 7%
Student > Ph. D. Student 5 6%
Other 17 21%
Unknown 23 28%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 23 28%
Biochemistry, Genetics and Molecular Biology 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Nursing and Health Professions 3 4%
Psychology 3 4%
Other 13 16%
Unknown 33 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 25 April 2026.
All research outputs
#2,568,857
of 34,560,573 outputs
Outputs from Drug & Alcohol Dependence
#1,192
of 7,198 outputs
Outputs of similar age
#27,693
of 315,929 outputs
Outputs of similar age from Drug & Alcohol Dependence
#20
of 127 outputs
Altmetric has tracked 34,560,573 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 7,198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one has done well, scoring higher than 83% 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 315,929 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 91% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.