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Augmented monomials in terms of power sums

Overview of attention for article published in SpringerPlus, November 2015
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Augmented monomials in terms of power sums
Published in
SpringerPlus, November 2015
DOI 10.1186/s40064-015-1506-5
Pubmed ID
Authors

Mircea Merca

Abstract

The problem of base changes for the classical symmetric functions has been solved a long time ago and has been incorporated into most computer software packages for symmetric functions. In this paper, we develop a simple recursive formula for the expansion of the augmented monomial symmetric functions into power sum symmetric functions. As corollaries, we present two algorithms that can be used to expressing the augmented monomial symmetric functions in terms of the power sum symmetric functions.

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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 2 67%
Researcher 1 33%
Readers by discipline Count As %
Mathematics 1 33%
Computer Science 1 33%
Sports and Recreations 1 33%
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 16 November 2017.
All research outputs
#15,483,707
of 23,008,860 outputs
Outputs from SpringerPlus
#942
of 1,855 outputs
Outputs of similar age
#227,878
of 387,723 outputs
Outputs of similar age from SpringerPlus
#64
of 187 outputs
Altmetric has tracked 23,008,860 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 1,855 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 35th percentile – i.e., 35% 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 387,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 187 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.