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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 Facebook page

Citations

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48 Mendeley
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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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 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 45 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Ph. D. Student 7 15%
Professor > Associate Professor 7 15%
Professor 6 13%
Other 4 8%
Other 11 23%
Unknown 4 8%
Readers by discipline Count As %
Medicine and Dentistry 9 19%
Agricultural and Biological Sciences 6 13%
Psychology 6 13%
Social Sciences 3 6%
Mathematics 3 6%
Other 13 27%
Unknown 8 17%
Attention Score in Context

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
#20,741,488
of 23,340,595 outputs
Outputs from BMC Medical Research Methodology
#1,923
of 2,059 outputs
Outputs of similar age
#80,155
of 83,445 outputs
Outputs of similar age from BMC Medical Research Methodology
#8
of 9 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,059 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 1st percentile – i.e., 1% 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 83,445 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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.