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ECG-RNG: A Random Number Generator Based on ECG Signals and Suitable for Securing Wireless Sensor Networks

Overview of attention for article published in Sensors, August 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
32 Mendeley
Title
ECG-RNG: A Random Number Generator Based on ECG Signals and Suitable for Securing Wireless Sensor Networks
Published in
Sensors, August 2018
DOI 10.3390/s18092747
Pubmed ID
Authors

Carmen Camara, Pedro Peris-Lopez, Honorio Martín, Mu’awya Aldalaien

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Student > Bachelor 4 13%
Student > Master 4 13%
Other 2 6%
Professor > Associate Professor 2 6%
Other 5 16%
Unknown 8 25%
Readers by discipline Count As %
Computer Science 10 31%
Engineering 5 16%
Business, Management and Accounting 4 13%
Arts and Humanities 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 9 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 February 2024.
All research outputs
#7,209,370
of 25,385,509 outputs
Outputs from Sensors
#3,412
of 24,318 outputs
Outputs of similar age
#116,955
of 342,201 outputs
Outputs of similar age from Sensors
#67
of 490 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 24,318 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 85% 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 342,201 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 65% of its contemporaries.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.