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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

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
29 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 28%
Student > Master 5 17%
Student > Bachelor 4 14%
Other 2 7%
Professor 1 3%
Other 2 7%
Unknown 7 24%
Readers by discipline Count As %
Computer Science 7 24%
Engineering 6 21%
Business, Management and Accounting 5 17%
Mathematics 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 8 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 March 2021.
All research outputs
#5,678,517
of 18,009,382 outputs
Outputs from Sensors
#2,227
of 12,214 outputs
Outputs of similar age
#107,795
of 284,409 outputs
Outputs of similar age from Sensors
#42
of 210 outputs
Altmetric has tracked 18,009,382 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 12,214 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 80% 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 284,409 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 61% of its contemporaries.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.