| Title |
Multi-layer security scheme for implantable medical devices
|
|---|---|
| Published in |
Neural Computing and Applications, October 2018
|
| DOI | 10.1007/s00521-018-3819-0 |
| Authors |
Heena Rathore, Chenglong Fu, Amr Mohamed, Abdulla Al-Ali, Xiaojiang Du, Mohsen Guizani, Zhengtao Yu |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 11% |
| United States | 3 | 11% |
| Australia | 2 | 7% |
| Canada | 2 | 7% |
| Switzerland | 1 | 4% |
| Uganda | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| India | 1 | 4% |
| Unknown | 14 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 96% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Researcher | 6 | 11% |
| Student > Bachelor | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Student > Master | 3 | 6% |
| Other | 6 | 11% |
| Unknown | 22 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 31% |
| Engineering | 7 | 13% |
| Medicine and Dentistry | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Philosophy | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 24 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 2019.
All research outputs
#1,938,955
of 25,998,826 outputs
Outputs from Neural Computing and Applications
#21
of 2,616 outputs
Outputs of similar age
#40,020
of 362,305 outputs
Outputs of similar age from Neural Computing and Applications
#3
of 23 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,616 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 99% 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 362,305 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 23 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.