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Quasi-quantization: classical statistical theories with an epistemic restriction

Overview of attention for book
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
23 X users
wikipedia
4 Wikipedia pages
q&a
1 Q&A thread

Readers on

mendeley
17 Mendeley
citeulike
1 CiteULike
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Title
Quasi-quantization: classical statistical theories with an epistemic restriction
Published by
arXiv, September 2014
DOI 10.1007/978-94-017-7303-4
ISBNs
978-9-40-177302-7, 978-9-40-177303-4
Authors

Giulio Chiribella, Giacomo Mauro D'Ariano, Paolo Perinotti, Roger Colbeck, Renato Renner, Robert W. Spekkens

Editors

Giulio Chiribella, Robert W. Spekkens

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 18%
Student > Master 3 18%
Student > Ph. D. Student 2 12%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 4 24%
Unknown 3 18%
Readers by discipline Count As %
Physics and Astronomy 11 65%
Psychology 1 6%
Business, Management and Accounting 1 6%
Unknown 4 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 06 July 2023.
All research outputs
#1,436,945
of 25,866,425 outputs
Outputs from arXiv
#21,105
of 951,831 outputs
Outputs of similar age
#14,918
of 261,012 outputs
Outputs of similar age from arXiv
#124
of 10,437 outputs
Altmetric has tracked 25,866,425 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 951,831 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 97% 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 261,012 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 10,437 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.