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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simultaneous evaluation of abstinence and relapse using a Markov chain model in smokers enrolled in a two-year randomized trial
|
|---|---|
| Published in |
BMC Medical Research Methodology, July 2012
|
| DOI | 10.1186/1471-2288-12-95 |
| Pubmed ID | |
| Authors |
Hung-Wen Yeh, Edward F Ellerbeck, Jonathan D Mahnken |
| Abstract |
GEE and mixed models are powerful tools to compare treatment effects in longitudinal smoking cessation trials. However, they are not capable of assessing the relapse (from abstinent back to smoking) simultaneously with cessation, which can be studied by transition models. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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% |
| Denmark | 1 | 2% |
| Unknown | 40 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 19% |
| Student > Ph. D. Student | 7 | 17% |
| Other | 4 | 10% |
| Researcher | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 19% |
| Medicine and Dentistry | 7 | 17% |
| Nursing and Health Professions | 5 | 12% |
| Agricultural and Biological Sciences | 4 | 10% |
| Social Sciences | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 12 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 April 2021.
All research outputs
#8,064,903
of 24,920,664 outputs
Outputs from BMC Medical Research Methodology
#1,190
of 2,223 outputs
Outputs of similar age
#55,258
of 169,658 outputs
Outputs of similar age from BMC Medical Research Methodology
#14
of 33 outputs
Altmetric has tracked 24,920,664 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,223 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 46th percentile – i.e., 46% 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 169,658 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 66% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.