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Optimizing a quantum reservoir computer for time series prediction

Overview of attention for article published in Scientific Reports, September 2020
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Optimizing a quantum reservoir computer for time series prediction
Published in
Scientific Reports, September 2020
DOI 10.1038/s41598-020-71673-9
Pubmed ID
Authors

Aki Kutvonen, Keisuke Fujii, Takahiro Sagawa

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

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 26%
Student > Master 5 10%
Researcher 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 3 6%
Other 9 18%
Unknown 11 22%
Readers by discipline Count As %
Physics and Astronomy 14 28%
Engineering 8 16%
Computer Science 6 12%
Unspecified 2 4%
Materials Science 2 4%
Other 5 10%
Unknown 13 26%
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 09 September 2020.
All research outputs
#14,480,044
of 24,704,144 outputs
Outputs from Scientific Reports
#64,992
of 134,966 outputs
Outputs of similar age
#201,959
of 406,160 outputs
Outputs of similar age from Scientific Reports
#2,070
of 3,972 outputs
Altmetric has tracked 24,704,144 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 134,966 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has gotten more attention than average, scoring higher than 50% 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 406,160 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,972 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.