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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detection of the third and fourth heart sounds using Hilbert-Huang transform
|
|---|---|
| Published in |
BioMedical Engineering OnLine, February 2012
|
| DOI | 10.1186/1475-925x-11-8 |
| Pubmed ID | |
| Authors |
Yi-Li Tseng, Pin-Yu Ko, Fu-Shan Jaw |
| Abstract |
The third and fourth heart sound (S3 and S4) are two abnormal heart sound components which are proved to be indicators of heart failure during diastolic period. The combination of using diastolic heart sounds with the standard ECG as a measurement of ventricular dysfunction may improve the noninvasive diagnosis and early detection of myocardial ischemia. |
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 % |
|---|---|---|
| Mexico | 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 1% |
| India | 1 | 1% |
| United Kingdom | 1 | 1% |
| Mexico | 1 | 1% |
| Algeria | 1 | 1% |
| Unknown | 93 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 19% |
| Researcher | 16 | 16% |
| Student > Ph. D. Student | 11 | 11% |
| Student > Bachelor | 10 | 10% |
| Student > Doctoral Student | 7 | 7% |
| Other | 15 | 15% |
| Unknown | 20 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 37 | 38% |
| Medicine and Dentistry | 13 | 13% |
| Computer Science | 10 | 10% |
| Nursing and Health Professions | 3 | 3% |
| Psychology | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 26 | 27% |
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 15 February 2012.
All research outputs
#18,304,874
of 22,663,150 outputs
Outputs from BioMedical Engineering OnLine
#564
of 821 outputs
Outputs of similar age
#199,571
of 250,850 outputs
Outputs of similar age from BioMedical Engineering OnLine
#16
of 22 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 15th percentile – i.e., 15% 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 250,850 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 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.