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Exact linear modeling with polynomial coefficients

Overview of attention for article published in Multidimensional Systems and Signal Processing, July 2010
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1 X user

Citations

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Title
Exact linear modeling with polynomial coefficients
Published in
Multidimensional Systems and Signal Processing, July 2010
DOI 10.1007/s11045-010-0125-0
Authors

Eva Zerz, Viktor Levandovskyy, Kristina Schindelar

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X Demographics

The data shown below were collected from the profile of 1 X user 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Engineering 1 33%
Unknown 2 67%
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 February 2012.
All research outputs
#15,242,272
of 22,663,150 outputs
Outputs from Multidimensional Systems and Signal Processing
#34
of 53 outputs
Outputs of similar age
#75,551
of 93,451 outputs
Outputs of similar age from Multidimensional Systems and Signal Processing
#2
of 3 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 53 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 26th percentile – i.e., 26% 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 93,451 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.