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Matrix representations of octonions and their applications

Overview of attention for article published in Advances in Applied Clifford Algebras, June 2000
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About this Attention Score

  • Among the highest-scoring outputs from this source (#31 of 166)

Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
18 Mendeley
Title
Matrix representations of octonions and their applications
Published in
Advances in Applied Clifford Algebras, June 2000
DOI 10.1007/bf03042010
Authors

Yongge Tian

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Australia 1 6%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 33%
Student > Ph. D. Student 6 33%
Student > Bachelor 2 11%
Student > Doctoral Student 1 6%
Lecturer 1 6%
Other 2 11%
Readers by discipline Count As %
Physics and Astronomy 9 50%
Mathematics 4 22%
Engineering 3 17%
Social Sciences 1 6%
Philosophy 1 6%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 September 2018.
All research outputs
#7,460,230
of 22,808,725 outputs
Outputs from Advances in Applied Clifford Algebras
#31
of 166 outputs
Outputs of similar age
#12,483
of 39,169 outputs
Outputs of similar age from Advances in Applied Clifford Algebras
#1
of 1 outputs
Altmetric has tracked 22,808,725 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 166 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 39,169 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them