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A multipartite entanglement measure based on coefficient matrices

Overview of attention for article published in Quantum Information Processing, May 2015
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Mentioned by

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1 X user

Citations

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9 Dimensions

Readers on

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11 Mendeley
Title
A multipartite entanglement measure based on coefficient matrices
Published in
Quantum Information Processing, May 2015
DOI 10.1007/s11128-015-1023-z
Authors

Chao Zhao, Guo-wu Yang, William N. N. Hung, Xiao-yu Li

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Student > Bachelor 3 27%
Professor 2 18%
Professor > Associate Professor 1 9%
Student > Master 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Physics and Astronomy 4 36%
Psychology 3 27%
Nursing and Health Professions 1 9%
Mathematics 1 9%
Computer Science 1 9%
Other 0 0%
Unknown 1 9%
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 July 2015.
All research outputs
#18,420,033
of 22,818,766 outputs
Outputs from Quantum Information Processing
#488
of 762 outputs
Outputs of similar age
#192,283
of 265,195 outputs
Outputs of similar age from Quantum Information Processing
#18
of 31 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 762 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 9th percentile – i.e., 9% 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 265,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.