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Improved Bounds on Quantum Learning Algorithms

Overview of attention for article published in Quantum Information Processing, October 2005
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Mentioned by

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4 X users

Citations

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34 Dimensions

Readers on

mendeley
38 Mendeley
Title
Improved Bounds on Quantum Learning Algorithms
Published in
Quantum Information Processing, October 2005
DOI 10.1007/s11128-005-0001-2
Authors

Alp Atici, Rocco A. Servedio

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
India 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 39%
Researcher 6 16%
Lecturer 3 8%
Student > Master 3 8%
Professor 2 5%
Other 5 13%
Unknown 4 11%
Readers by discipline Count As %
Physics and Astronomy 17 45%
Computer Science 10 26%
Mathematics 6 16%
Engineering 1 3%
Unknown 4 11%
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 12 January 2017.
All research outputs
#13,912,282
of 23,588,018 outputs
Outputs from Quantum Information Processing
#231
of 783 outputs
Outputs of similar age
#51,177
of 59,680 outputs
Outputs of similar age from Quantum Information Processing
#2
of 2 outputs
Altmetric has tracked 23,588,018 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 783 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 68% 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 59,680 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.