↓ Skip to main content

Bias, precision and statistical power of analysis of covariance in the analysis of randomized trials with baseline imbalance: a simulation study

Overview of attention for article published in BMC Medical Research Methodology, April 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
185 Dimensions

Readers on

mendeley
189 Mendeley
citeulike
3 CiteULike
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
Bias, precision and statistical power of analysis of covariance in the analysis of randomized trials with baseline imbalance: a simulation study
Published in
BMC Medical Research Methodology, April 2014
DOI 10.1186/1471-2288-14-49
Pubmed ID
Authors

Bolaji E Egbewale, Martyn Lewis, Julius Sim

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Spain 1 <1%
Pakistan 1 <1%
Germany 1 <1%
Unknown 184 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 15%
Researcher 28 15%
Other 15 8%
Student > Master 15 8%
Student > Bachelor 14 7%
Other 48 25%
Unknown 40 21%
Readers by discipline Count As %
Medicine and Dentistry 28 15%
Psychology 24 13%
Nursing and Health Professions 17 9%
Mathematics 13 7%
Neuroscience 11 6%
Other 50 26%
Unknown 46 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 September 2023.
All research outputs
#15,134,164
of 25,703,943 outputs
Outputs from BMC Medical Research Methodology
#1,443
of 2,310 outputs
Outputs of similar age
#121,352
of 242,089 outputs
Outputs of similar age from BMC Medical Research Methodology
#19
of 30 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,310 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 36th percentile – i.e., 36% 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 242,089 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.