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Calendar time‐specific propensity score analysis for observational data: a case study estimating the effectiveness of inhaled long‐acting beta‐agonist on asthma exacerbations

Overview of attention for article published in Pharmacoepidemiology & Drug Safety, October 2013
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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3 X users

Citations

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6 Dimensions

Readers on

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12 Mendeley
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Title
Calendar time‐specific propensity score analysis for observational data: a case study estimating the effectiveness of inhaled long‐acting beta‐agonist on asthma exacerbations
Published in
Pharmacoepidemiology & Drug Safety, October 2013
DOI 10.1002/pds.3540
Pubmed ID
Authors

Piyemeth Dilokthornsakul, Nathorn Chaiyakunapruk, Glen T. Schumock, Todd A. Lee

Abstract

Propensity scores (PS) are frequently used in observational studies. PS are usually estimated over the entire study period without consideration of the effect of changing patterns of the included variables over time. This study sought to compare PS estimated using the entire study period (conventional PS) and PS estimated for specific periods (calendar time-specific PS (CTS-PS)), and to determine whether there are differences in estimated treatment effects using these approaches.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 25%
Student > Ph. D. Student 2 17%
Other 1 8%
Student > Doctoral Student 1 8%
Researcher 1 8%
Other 2 17%
Unknown 2 17%
Readers by discipline Count As %
Medicine and Dentistry 7 58%
Mathematics 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Nursing and Health Professions 1 8%
Business, Management and Accounting 1 8%
Other 0 0%
Unknown 1 8%
Attention Score in Context

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 16 September 2014.
All research outputs
#15,799,182
of 25,457,297 outputs
Outputs from Pharmacoepidemiology & Drug Safety
#1,234
of 2,176 outputs
Outputs of similar age
#126,868
of 224,950 outputs
Outputs of similar age from Pharmacoepidemiology & Drug Safety
#16
of 36 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,176 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 42nd percentile – i.e., 42% 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 224,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 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 55% of its contemporaries.