↓ Skip to main content

Simultaneous evaluation of abstinence and relapse using a Markov chain model in smokers enrolled in a two-year randomized trial

Overview of attention for article published in BMC Medical Research Methodology, July 2012
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
29 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Denmark 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Student > Ph. D. Student 5 17%
Other 3 10%
Researcher 3 10%
Student > Doctoral Student 2 7%
Other 6 21%
Unknown 4 14%
Readers by discipline Count As %
Psychology 8 28%
Medicine and Dentistry 7 24%
Agricultural and Biological Sciences 3 10%
Nursing and Health Professions 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 7%
Unknown 6 21%

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 30 July 2012.
All research outputs
#10,995,466
of 12,373,180 outputs
Outputs from BMC Medical Research Methodology
#1,009
of 1,095 outputs
Outputs of similar age
#104,281
of 121,530 outputs
Outputs of similar age from BMC Medical Research Methodology
#16
of 17 outputs
Altmetric has tracked 12,373,180 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,095 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 1st percentile – i.e., 1% 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 121,530 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.