| 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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 20% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 4 | 11% |
| Professor | 3 | 9% |
| Other | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 34% |
| Engineering | 5 | 14% |
| Business, Management and Accounting | 4 | 11% |
| Unspecified | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 9 | 26% |
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
#7,327,663
of 23,102,082 outputs
Outputs from Sensors
#3,628
of 19,979 outputs
Outputs of similar age
#126,902
of 333,774 outputs
Outputs of similar age from Sensors
#77
of 488 outputs
Altmetric has tracked 23,102,082 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 19,979 research outputs from this source. They receive a mean Attention Score of 2.9. 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 333,774 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 488 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.