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Development of measures assessing attitudes toward contraband tobacco among a web-based sample of smokers

Overview of attention for article published in Tobacco Induced Diseases, March 2015
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Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Development of measures assessing attitudes toward contraband tobacco among a web-based sample of smokers
Published in
Tobacco Induced Diseases, March 2015
DOI 10.1186/s12971-015-0032-0
Pubmed ID
Authors

Sarah E Adkison, Richard J O’Connor, Michael Chaiton, Robert Schwartz

Abstract

As regulation of tobacco products tightens, there are concerns that illicit markets may develop to supply restricted products. However, there are few validated measures to assess attitudes or purchase intentions toward contraband tobacco (CT). As such, it is important to investigate individual level characteristics that are associated with the purchase and use of contraband tobacco. In May 2013, a pilot survey assessed attitudes, behaviors, and purchase intentions for contraband tobacco based on previous research regarding non-tobacco contraband. The survey was administered via Amazon Mechanical Turk, a crowdsourcing resource, among current smoking respondents in the United States and Canada. Structural equation modeling was used to evaluate the validity of the proposed model for understanding attitudes toward contraband tobacco. CT purchasers were more likely to report norms supportive of counterfeit products, more intentions toward purchasing counterfeit products, a lowered risk associated with these products, and to have more favorable attitudes toward CT than those who had not purchased CT. Attitudes toward CT mediated the relationship between subjective norms and prior purchase with behavior intentions. Perceived risk had a significant direct effect on intentions and an indirect effect through attitudes toward CT. The structural model fit the data well and accounted for over half (53%) of the variance in attitudes toward tobacco. Understanding the mechanisms associated with CT attitudes and purchase behaviors may provide insight for how to mitigate possible iatrogenic consequences of newly implemented regulations. The measures developed here elucidate some elements that influence attitudes and purchase intentions for CT and may inform policy efforts to curtail the development of illicit markets.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 12%
Professor > Associate Professor 5 12%
Researcher 5 12%
Student > Bachelor 4 10%
Other 4 10%
Other 10 24%
Unknown 9 21%
Readers by discipline Count As %
Medicine and Dentistry 6 14%
Business, Management and Accounting 5 12%
Economics, Econometrics and Finance 5 12%
Social Sciences 4 10%
Nursing and Health Professions 3 7%
Other 8 19%
Unknown 11 26%
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 25 September 2016.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Tobacco Induced Diseases
#379
of 591 outputs
Outputs of similar age
#169,460
of 278,001 outputs
Outputs of similar age from Tobacco Induced Diseases
#4
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 591 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 19th percentile – i.e., 19% 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 278,001 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.