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Mendeley readers
Attention Score in Context
| Title |
What Factors Influence Smoking Prevalence and Smoke Free Policy Enactment across the European Union Member States
|
|---|---|
| Published in |
PLOS ONE, August 2011
|
| DOI | 10.1371/journal.pone.0023889 |
| Pubmed ID | |
| Authors |
Ilze Bogdanovica, Ann McNeill, Rachael Murray, John Britton |
| Abstract |
Smoking prevention should be a primary public health priority for all governments, and effective preventive policies have been identified for decades. The heterogeneity of smoking prevalence between European Union (EU) Member States therefore reflects, at least in part, a failure by governments to prioritise public health over tobacco industry or possibly other financial interests, and hence potentially government corruption. The aims of this study were to test the hypothesis that smoking prevalence is higher in countries with high levels of public sector corruption, and explore the ecological association between smoking prevalence and a range of other national characteristics in current EU Member States. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Scientists | 1 | 50% |
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% |
| Netherlands | 1 | 1% |
| Unknown | 81 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 16% |
| Student > Master | 8 | 10% |
| Student > Ph. D. Student | 7 | 8% |
| Student > Bachelor | 6 | 7% |
| Lecturer | 6 | 7% |
| Other | 18 | 22% |
| Unknown | 25 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 17% |
| Social Sciences | 11 | 13% |
| Economics, Econometrics and Finance | 7 | 8% |
| Psychology | 5 | 6% |
| Agricultural and Biological Sciences | 4 | 5% |
| Other | 13 | 16% |
| Unknown | 29 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 October 2012.
All research outputs
#14,220,809
of 22,797,621 outputs
Outputs from PLOS ONE
#116,405
of 194,562 outputs
Outputs of similar age
#82,851
of 125,142 outputs
Outputs of similar age from PLOS ONE
#1,469
of 2,528 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,562 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 36th percentile – i.e., 36% 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 125,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,528 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.