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Analysis of Bayesian posterior significance and effect size indices for the two-sample t-test to support reproducible medical research

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

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
50 Mendeley
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Title
Analysis of Bayesian posterior significance and effect size indices for the two-sample t-test to support reproducible medical research
Published in
BMC Medical Research Methodology, April 2020
DOI 10.1186/s12874-020-00968-2
Pubmed ID
Authors

Riko Kelter

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 12%
Student > Doctoral Student 6 12%
Student > Ph. D. Student 5 10%
Lecturer 4 8%
Student > Master 4 8%
Other 10 20%
Unknown 15 30%
Readers by discipline Count As %
Psychology 6 12%
Medicine and Dentistry 5 10%
Agricultural and Biological Sciences 4 8%
Neuroscience 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 10 20%
Unknown 20 40%
Attention Score in Context

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 05 February 2022.
All research outputs
#6,881,385
of 23,056,273 outputs
Outputs from BMC Medical Research Methodology
#1,018
of 2,031 outputs
Outputs of similar age
#137,548
of 374,920 outputs
Outputs of similar age from BMC Medical Research Methodology
#47
of 71 outputs
Altmetric has tracked 23,056,273 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,031 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 49th percentile – i.e., 49% 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 374,920 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 63% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.