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On the superposition principle in interference experiments

Overview of attention for article published in Scientific Reports, May 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 tweeters

Citations

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31 Dimensions

Readers on

mendeley
36 Mendeley
Title
On the superposition principle in interference experiments
Published in
Scientific Reports, May 2015
DOI 10.1038/srep10304
Pubmed ID
Authors

Aninda Sinha, Aravind H. Vijay, Urbasi Sinha

Abstract

The superposition principle is usually incorrectly applied in interference experiments. This has recently been investigated through numerics based on Finite Difference Time Domain (FDTD) methods as well as the Feynman path integral formalism. In the current work, we have derived an analytic formula for the Sorkin parameter which can be used to determine the deviation from the application of the principle. We have found excellent agreement between the analytic distribution and those that have been earlier estimated by numerical integration as well as resource intensive FDTD simulations. The analytic handle would be useful for comparing theory with future experiments. It is applicable both to physics based on classical wave equations as well as the non-relativistic Schrödinger equation.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 3%
France 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Researcher 6 17%
Student > Master 5 14%
Professor 3 8%
Student > Doctoral Student 2 6%
Other 5 14%
Unknown 5 14%
Readers by discipline Count As %
Physics and Astronomy 24 67%
Engineering 2 6%
Materials Science 2 6%
Economics, Econometrics and Finance 1 3%
Unknown 7 19%

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 21 April 2020.
All research outputs
#10,532,287
of 19,432,554 outputs
Outputs from Scientific Reports
#43,801
of 104,176 outputs
Outputs of similar age
#99,358
of 245,584 outputs
Outputs of similar age from Scientific Reports
#1,465
of 3,741 outputs
Altmetric has tracked 19,432,554 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 104,176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.1. This one has gotten more attention than average, scoring higher than 57% 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 245,584 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 3,741 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 60% of its contemporaries.