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Regression toward the mean – a detection method for unknown population mean based on Mee and Chua's algorithm

Overview of attention for article published in BMC Medical Research Methodology, August 2008
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1 tweeter
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1 Facebook page

Citations

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23 Dimensions

Readers on

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46 Mendeley
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1 CiteULike
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Title
Regression toward the mean – a detection method for unknown population mean based on Mee and Chua's algorithm
Published in
BMC Medical Research Methodology, August 2008
DOI 10.1186/1471-2288-8-52
Pubmed ID
Authors

Thomas Ostermann, Stefan N Willich, Rainer Lüdtke

Abstract

Regression to the mean (RTM) occurs in situations of repeated measurements when extreme values are followed by measurements in the same subjects that are closer to the mean of the basic population. In uncontrolled studies such changes are likely to be interpreted as a real treatment effect.

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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 2%
Poland 1 2%
Italy 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 7 15%
Professor > Associate Professor 6 13%
Professor 6 13%
Other 4 9%
Other 12 26%
Unknown 2 4%
Readers by discipline Count As %
Medicine and Dentistry 9 20%
Agricultural and Biological Sciences 6 13%
Psychology 5 11%
Social Sciences 3 7%
Mathematics 3 7%
Other 13 28%
Unknown 7 15%

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 04 June 2018.
All research outputs
#17,679,313
of 22,696,971 outputs
Outputs from BMC Medical Research Methodology
#1,668
of 2,002 outputs
Outputs of similar age
#75,444
of 82,428 outputs
Outputs of similar age from BMC Medical Research Methodology
#7
of 9 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,002 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 13th percentile – i.e., 13% 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 82,428 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.