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Analytical error analysis of Clifford gates by the fault-path tracer method

Overview of attention for article published in Quantum Information Processing, May 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
11 Mendeley
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Title
Analytical error analysis of Clifford gates by the fault-path tracer method
Published in
Quantum Information Processing, May 2016
DOI 10.1007/s11128-016-1330-z
Authors

Smitha Janardan, Yu Tomita, Mauricio Gutiérrez, Kenneth R. Brown

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 %
Canada 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Postgraduate 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Unknown 4 36%
Readers by discipline Count As %
Physics and Astronomy 3 27%
Mathematics 2 18%
Computer Science 1 9%
Engineering 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 January 2017.
All research outputs
#15,119,631
of 24,010,679 outputs
Outputs from Quantum Information Processing
#286
of 797 outputs
Outputs of similar age
#193,335
of 339,111 outputs
Outputs of similar age from Quantum Information Processing
#9
of 36 outputs
Altmetric has tracked 24,010,679 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 797 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 59% 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 339,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 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 66% of its contemporaries.