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Four-State Continuous-Variable Quantum Key Distribution with Photon Subtraction

Overview of attention for article published in International Journal of Theoretical Physics, June 2018
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Mentioned by

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1 X user

Citations

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Readers on

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3 Mendeley
Title
Four-State Continuous-Variable Quantum Key Distribution with Photon Subtraction
Published in
International Journal of Theoretical Physics, June 2018
DOI 10.1007/s10773-018-3796-1
Authors

Fei Li, Yijun Wang, Qin Liao, Ying Guo

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 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 %
Researcher 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Physics and Astronomy 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 10 August 2018.
All research outputs
#20,529,980
of 23,099,576 outputs
Outputs from International Journal of Theoretical Physics
#913
of 1,814 outputs
Outputs of similar age
#289,010
of 329,351 outputs
Outputs of similar age from International Journal of Theoretical Physics
#12
of 59 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,814 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 1st percentile – i.e., 1% 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 329,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.