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No-Forcing and No-Matching Theorems for Classical Probability Applied to Quantum Mechanics

Overview of attention for article published in Foundations of Physics, March 2014
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user
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1 Facebook page

Citations

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20 Dimensions

Readers on

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11 Mendeley
Title
No-Forcing and No-Matching Theorems for Classical Probability Applied to Quantum Mechanics
Published in
Foundations of Physics, March 2014
DOI 10.1007/s10701-014-9783-3
Authors

Ehtibar N. Dzhafarov, Janne V. Kujala

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Professor 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Researcher 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Physics and Astronomy 3 27%
Agricultural and Biological Sciences 1 9%
Mathematics 1 9%
Psychology 1 9%
Engineering 1 9%
Other 0 0%
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 19 May 2013.
All research outputs
#14,753,163
of 22,710,079 outputs
Outputs from Foundations of Physics
#635
of 952 outputs
Outputs of similar age
#126,189
of 223,324 outputs
Outputs of similar age from Foundations of Physics
#9
of 14 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 952 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 30th percentile – i.e., 30% 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 223,324 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.