| Title |
Detecting data manipulation attacks on physiological sensor measurements in wearable medical systems
|
|---|---|
| Published in |
EURASIP Journal on Information Security, September 2018
|
| DOI | 10.1186/s13635-018-0082-y |
| Authors |
Hang Cai, Krishna K. Venkatasubramanian |
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 % |
|---|---|---|
| Italy | 1 | 20% |
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 25% |
| Student > Master | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 31% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Engineering | 2 | 13% |
| Neuroscience | 1 | 6% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 November 2018.
All research outputs
#15,175,718
of 25,385,509 outputs
Outputs from EURASIP Journal on Information Security
#45
of 81 outputs
Outputs of similar age
#184,567
of 352,583 outputs
Outputs of similar age from EURASIP Journal on Information Security
#2
of 2 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 81 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 44th percentile – i.e., 44% 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 352,583 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.