↓ Skip to main content

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
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
1 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
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

The data shown below were compiled from readership statistics for 44 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 41 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 7 16%
Professor 6 14%
Professor > Associate Professor 6 14%
Other 4 9%
Other 10 23%
Unknown 2 5%
Readers by discipline Count As %
Medicine and Dentistry 9 20%
Agricultural and Biological Sciences 6 14%
Psychology 5 11%
Social Sciences 3 7%
Mathematics 3 7%
Other 11 25%
Unknown 7 16%

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
#17,280,953
of 22,153,842 outputs
Outputs from BMC Medical Research Methodology
#1,633
of 1,954 outputs
Outputs of similar age
#220,308
of 308,244 outputs
Outputs of similar age from BMC Medical Research Methodology
#90
of 105 outputs
Altmetric has tracked 22,153,842 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 1,954 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. 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 308,244 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.