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An evaluation of inverse probability weighting using the propensity score for baseline covariate adjustment in smaller population randomised controlled trials with a continuous outcome

Overview of attention for article published in BMC Medical Research Methodology, March 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
70 Mendeley
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Title
An evaluation of inverse probability weighting using the propensity score for baseline covariate adjustment in smaller population randomised controlled trials with a continuous outcome
Published in
BMC Medical Research Methodology, March 2020
DOI 10.1186/s12874-020-00947-7
Pubmed ID
Authors

Hanaya Raad, Victoria Cornelius, Susan Chan, Elizabeth Williamson, Suzie Cro

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 20%
Student > Ph. D. Student 11 16%
Other 6 9%
Student > Master 6 9%
Student > Postgraduate 4 6%
Other 9 13%
Unknown 20 29%
Readers by discipline Count As %
Medicine and Dentistry 14 20%
Mathematics 6 9%
Social Sciences 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Agricultural and Biological Sciences 3 4%
Other 15 21%
Unknown 23 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 December 2021.
All research outputs
#5,683,750
of 22,663,969 outputs
Outputs from BMC Medical Research Methodology
#805
of 2,000 outputs
Outputs of similar age
#110,860
of 366,229 outputs
Outputs of similar age from BMC Medical Research Methodology
#26
of 64 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,000 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 366,229 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 69% of its contemporaries.
We're also able to compare this research output to 64 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.