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Determining the best population-level alcohol consumption model and its impact on estimates of alcohol-attributable harms

Overview of attention for article published in Population Health Metrics, April 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

policy
1 policy source
twitter
3 X users

Citations

dimensions_citation
125 Dimensions

Readers on

mendeley
70 Mendeley
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Title
Determining the best population-level alcohol consumption model and its impact on estimates of alcohol-attributable harms
Published in
Population Health Metrics, April 2012
DOI 10.1186/1478-7954-10-6
Pubmed ID
Authors

Tara Kehoe, Gerrit Gmel, Kevin D Shield, Gerhard Gmel, Jürgen Rehm

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 27%
Student > Master 10 14%
Other 6 9%
Student > Doctoral Student 4 6%
Professor 3 4%
Other 10 14%
Unknown 18 26%
Readers by discipline Count As %
Medicine and Dentistry 16 23%
Nursing and Health Professions 7 10%
Social Sciences 6 9%
Agricultural and Biological Sciences 4 6%
Economics, Econometrics and Finance 3 4%
Other 12 17%
Unknown 22 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 August 2021.
All research outputs
#7,304,457
of 26,017,215 outputs
Outputs from Population Health Metrics
#190
of 418 outputs
Outputs of similar age
#47,057
of 177,725 outputs
Outputs of similar age from Population Health Metrics
#5
of 6 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has gotten more attention than average, scoring higher than 52% 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 177,725 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 72% 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.