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TELBS robust linear regression method

Overview of attention for article published in Open Access Medical Statistics, November 2012
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Mentioned by

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1 Facebook page

Citations

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6 Dimensions

Readers on

mendeley
11 Mendeley
Title
TELBS robust linear regression method
Published in
Open Access Medical Statistics, November 2012
DOI 10.2147/oams.s37395
Authors

Wayne Eby, Tabatabai, Li, sejong Bae, Karan Singh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 9%
United States 1 9%
Unknown 9 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Lecturer > Senior Lecturer 1 9%
Lecturer 1 9%
Student > Master 1 9%
Professor 1 9%
Other 3 27%
Unknown 2 18%
Readers by discipline Count As %
Medicine and Dentistry 4 36%
Mathematics 1 9%
Computer Science 1 9%
Agricultural and Biological Sciences 1 9%
Social Sciences 1 9%
Other 1 9%
Unknown 2 18%
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 29 November 2012.
All research outputs
#20,174,175
of 22,687,320 outputs
Outputs from Open Access Medical Statistics
#15
of 17 outputs
Outputs of similar age
#163,869
of 184,139 outputs
Outputs of similar age from Open Access Medical Statistics
#2
of 2 outputs
Altmetric has tracked 22,687,320 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 17 research outputs from this source. They receive a mean Attention Score of 1.4. This one scored the same or higher as 2 of them.
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 184,139 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 2 others from the same source and published within six weeks on either side of this one.