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The effects of smoke-free legislation on acute myocardial infarction: a systematic review and meta-analysis

Overview of attention for article published in BMC Public Health, May 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
3 news outlets
policy
1 policy source
twitter
27 X users
facebook
1 Facebook page
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
89 Mendeley
citeulike
1 CiteULike
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Title
The effects of smoke-free legislation on acute myocardial infarction: a systematic review and meta-analysis
Published in
BMC Public Health, May 2013
DOI 10.1186/1471-2458-13-529
Pubmed ID
Authors

Hualiang Lin, Hongchun Wang, Wei Wu, Lingling Lang, Qinzhou Wang, Linwei Tian

Abstract

Comprehensive smoke-free legislation has been implemented in many countries. The current study quantitatively examined the reduction in risk of acute myocardial infarction (MI) occurrence following the legislations and the relationship with the corresponding smoking prevalence decrease. PubMed, EMBASE, and Google Scholar databases and bibliographies of relevant studies and reviews were searched for potential original studies published from January 1, 2004, through October 31, 2011. Meta-analysis was performed using a random effect model to estimate the overall effects of the smoking-free legislations. Meta-regression was used to investigate possible causes of heterogeneity in risk estimates. A total of 18 eligible studies with 44 estimates of effect size were used in this study. Meta-analysis produced a pooled estimate of the relative risk of 0.87 (95% confidence interval (CI): 0.84 to 0.91). There was significant heterogeneity in the risk estimates (overall I² = 96.03%, p<0.001). In meta-regression analysis, studies with greater smoking prevalence decrease produced larger relative risk (adjusted coefficient -0.027, 95% CI: -0.049 to -0.006, p=0.014). Smoke-free legislations in public and work places were associated with significant reduction in acute MI risk, which might be partly attributable to reduced smoking prevalence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Peru 1 1%
Unknown 88 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 18%
Student > Master 15 17%
Other 7 8%
Student > Bachelor 7 8%
Student > Ph. D. Student 7 8%
Other 21 24%
Unknown 16 18%
Readers by discipline Count As %
Medicine and Dentistry 28 31%
Social Sciences 12 13%
Nursing and Health Professions 8 9%
Environmental Science 5 6%
Agricultural and Biological Sciences 4 4%
Other 13 15%
Unknown 19 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 August 2021.
All research outputs
#796,910
of 25,959,914 outputs
Outputs from BMC Public Health
#836
of 17,866 outputs
Outputs of similar age
#5,910
of 210,760 outputs
Outputs of similar age from BMC Public Health
#6
of 282 outputs
Altmetric has tracked 25,959,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,866 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 95% 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 210,760 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 97% of its contemporaries.
We're also able to compare this research output to 282 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.