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Extracting random numbers from quantum tunnelling through a single diode

Overview of attention for article published in Scientific Reports, December 2017
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About this Attention Score

  • In the top 5% 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 (91st percentile)

Mentioned by

news
1 news outlet
twitter
30 X users
patent
8 patents
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Extracting random numbers from quantum tunnelling through a single diode
Published in
Scientific Reports, December 2017
DOI 10.1038/s41598-017-18161-9
Pubmed ID
Authors

Ramón Bernardo-Gavito, Ibrahim Ethem Bagci, Jonathan Roberts, James Sexton, Benjamin Astbury, Hamzah Shokeir, Thomas McGrath, Yasir J. Noori, Christopher S. Woodhead, Mohamed Missous, Utz Roedig, Robert J. Young

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Student > Ph. D. Student 9 21%
Student > Master 6 14%
Lecturer 4 10%
Student > Bachelor 2 5%
Other 3 7%
Unknown 9 21%
Readers by discipline Count As %
Physics and Astronomy 13 31%
Engineering 12 29%
Computer Science 6 14%
Agricultural and Biological Sciences 2 5%
Business, Management and Accounting 1 2%
Other 0 0%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 November 2023.
All research outputs
#1,174,462
of 25,765,370 outputs
Outputs from Scientific Reports
#11,819
of 142,903 outputs
Outputs of similar age
#26,206
of 449,615 outputs
Outputs of similar age from Scientific Reports
#373
of 4,299 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 142,903 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done particularly well, scoring higher than 91% 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 449,615 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 4,299 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 91% of its contemporaries.