| Title |
Estimating the probabilities of making a smoking quit attempt in Italy: stall in smoking cessation levels, 1986-2009
|
|---|---|
| Published in |
BMC Public Health, March 2012
|
| DOI | 10.1186/1471-2458-12-183 |
| Pubmed ID | |
| Authors |
Giulia Carreras, Silvano Gallus, Laura Iannucci, Giuseppe Gorini |
| Abstract |
No data on annual smoking cessation probability (i.e., the probability of successfully quit in a given year) are available for Italy at a population level. Mathematical models typically used to estimate smoking cessation probabilities do not account for smoking relapse. In this paper, we developed a mathematical model to estimate annual quitting probabilities, taking into account smoking relapse and time since cessation. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 17% |
| Student > Doctoral Student | 2 | 11% |
| Librarian | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Master | 2 | 11% |
| Other | 4 | 22% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 33% |
| Agricultural and Biological Sciences | 3 | 17% |
| Psychology | 3 | 17% |
| Nursing and Health Professions | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 22% |
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 09 April 2012.
All research outputs
#15,242,707
of 22,663,969 outputs
Outputs from BMC Public Health
#11,246
of 14,744 outputs
Outputs of similar age
#99,901
of 156,321 outputs
Outputs of similar age from BMC Public Health
#146
of 184 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,744 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 16th percentile – i.e., 16% 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 156,321 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.