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Mendeley readers
Attention Score in Context
Title |
Implementation of a portable device for real-time ECG signal analysis
|
---|---|
Published in |
BioMedical Engineering OnLine, December 2014
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DOI | 10.1186/1475-925x-13-160 |
Pubmed ID | |
Authors |
Taegyun Jeon, Byoungho Kim, Moongu Jeon, Byung-Geun Lee |
Abstract |
Cardiac disease is one of the main causes of catastrophic mortality. Therefore, detecting the symptoms of cardiac disease as early as possible is important for increasing the patient's survival. In this study, a compact and effective architecture for detecting atrial fibrillation (AFib) and myocardial ischemia is proposed. We developed a portable device using this architecture, which allows real-time electrocardiogram (ECG) signal acquisition and analysis for cardiac diseases. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | <1% |
United States | 1 | <1% |
Korea, Republic of | 1 | <1% |
Unknown | 150 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 30 | 20% |
Student > Bachelor | 22 | 14% |
Student > Ph. D. Student | 16 | 10% |
Researcher | 15 | 10% |
Student > Postgraduate | 9 | 6% |
Other | 26 | 17% |
Unknown | 35 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 45 | 29% |
Medicine and Dentistry | 28 | 18% |
Computer Science | 13 | 8% |
Nursing and Health Professions | 7 | 5% |
Agricultural and Biological Sciences | 2 | 1% |
Other | 14 | 9% |
Unknown | 44 | 29% |
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 11 December 2014.
All research outputs
#20,246,428
of 22,774,233 outputs
Outputs from BioMedical Engineering OnLine
#694
of 824 outputs
Outputs of similar age
#302,547
of 361,216 outputs
Outputs of similar age from BioMedical Engineering OnLine
#25
of 28 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% 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 361,216 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.