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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 (14248220), August 2018
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Mentioned by

twitter
1 tweeter

Citations

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7 Dimensions

Readers on

mendeley
13 Mendeley
Title
ECG-RNG: A Random Number Generator Based on ECG Signals and Suitable for Securing Wireless Sensor Networks
Published in
Sensors (14248220), 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 31%
Student > Ph. D. Student 2 15%
Student > Bachelor 2 15%
Librarian 1 8%
Unknown 4 31%
Readers by discipline Count As %
Computer Science 4 31%
Engineering 2 15%
Business, Management and Accounting 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 5 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 September 2018.
All research outputs
#10,707,818
of 13,457,774 outputs
Outputs from Sensors (14248220)
#3,966
of 6,363 outputs
Outputs of similar age
#198,918
of 265,560 outputs
Outputs of similar age from Sensors (14248220)
#132
of 206 outputs
Altmetric has tracked 13,457,774 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,363 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 13th percentile – i.e., 13% 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 265,560 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.