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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel technique for fetal heart rate estimation from Doppler ultrasound signal
|
|---|---|
| Published in |
BioMedical Engineering OnLine, October 2011
|
| DOI | 10.1186/1475-925x-10-92 |
| Pubmed ID | |
| Authors |
Janusz Jezewski, Dawid Roj, Janusz Wrobel, Krzysztof Horoba |
| Abstract |
The currently used fetal monitoring instrumentation that is based on Doppler ultrasound technique provides the fetal heart rate (FHR) signal with limited accuracy. It is particularly noticeable as significant decrease of clinically important feature - the variability of FHR signal. The aim of our work was to develop a novel efficient technique for processing of the ultrasound signal, which could estimate the cardiac cycle duration with accuracy comparable to a direct electrocardiography. |
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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Malaysia | 1 | 1% |
| Indonesia | 1 | 1% |
| India | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 69 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 13% |
| Student > Ph. D. Student | 9 | 12% |
| Student > Doctoral Student | 7 | 9% |
| Student > Master | 6 | 8% |
| Student > Bachelor | 5 | 7% |
| Other | 15 | 20% |
| Unknown | 23 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 27 | 36% |
| Medicine and Dentistry | 8 | 11% |
| Neuroscience | 4 | 5% |
| Computer Science | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 24 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 03 May 2023.
All research outputs
#2,264,106
of 22,655,397 outputs
Outputs from BioMedical Engineering OnLine
#46
of 820 outputs
Outputs of similar age
#11,924
of 136,368 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 5 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 820 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 94% 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 136,368 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them