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Generating Polynomials and Symmetric Tensor Decompositions

Overview of attention for article published in Foundations of Computational Mathematics, November 2015
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user

Citations

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39 Dimensions

Readers on

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13 Mendeley
Title
Generating Polynomials and Symmetric Tensor Decompositions
Published in
Foundations of Computational Mathematics, November 2015
DOI 10.1007/s10208-015-9291-7
Authors

Jiawang Nie

X Demographics

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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Master 3 23%
Lecturer 1 8%
Professor 1 8%
Unknown 4 31%
Readers by discipline Count As %
Mathematics 3 23%
Engineering 2 15%
Computer Science 1 8%
Chemistry 1 8%
Decision Sciences 1 8%
Other 0 0%
Unknown 5 38%
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 07 May 2018.
All research outputs
#15,508,366
of 23,047,237 outputs
Outputs from Foundations of Computational Mathematics
#84
of 235 outputs
Outputs of similar age
#167,796
of 285,690 outputs
Outputs of similar age from Foundations of Computational Mathematics
#3
of 5 outputs
Altmetric has tracked 23,047,237 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 235 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 45th percentile – i.e., 45% 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 285,690 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.