| Title |
Detecting crypto-ransomware in IoT networks based on energy consumption footprint
|
|---|---|
| Published in |
Journal of Ambient Intelligence and Humanized Computing, August 2017
|
| DOI | 10.1007/s12652-017-0558-5 |
| Authors |
Amin Azmoodeh, Ali Dehghantanha, Mauro Conti, Kim-Kwang Raymond Choo |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 20% |
| United Kingdom | 1 | 20% |
| Canada | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 241 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 37 | 15% |
| Student > Ph. D. Student | 36 | 15% |
| Student > Bachelor | 30 | 12% |
| Lecturer | 11 | 5% |
| Student > Doctoral Student | 9 | 4% |
| Other | 32 | 13% |
| Unknown | 86 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 111 | 46% |
| Engineering | 26 | 11% |
| Unspecified | 2 | <1% |
| Arts and Humanities | 2 | <1% |
| Business, Management and Accounting | 2 | <1% |
| Other | 8 | 3% |
| Unknown | 90 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 26 April 2022.
All research outputs
#3,994,459
of 23,313,051 outputs
Outputs from Journal of Ambient Intelligence and Humanized Computing
#12
of 280 outputs
Outputs of similar age
#68,764
of 318,088 outputs
Outputs of similar age from Journal of Ambient Intelligence and Humanized Computing
#2
of 4 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 280 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 95% 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 318,088 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 78% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.