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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Approach to Predict Ventricular Fibrillation Based on QRS Complex Shape
|
|---|---|
| Published in |
Frontiers in Physiology, September 2019
|
| DOI | 10.3389/fphys.2019.01193 |
| Pubmed ID | |
| Authors |
Getu Tadele Taye, Eun Bo Shim, Han-Jeong Hwang, Ki Moo Lim |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Bachelor | 8 | 15% |
| Student > Master | 8 | 15% |
| Student > Ph. D. Student | 7 | 13% |
| Student > Doctoral Student | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 14 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 28% |
| Computer Science | 6 | 11% |
| Medicine and Dentistry | 6 | 11% |
| Mathematics | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 19 | 36% |
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 26 September 2019.
All research outputs
#18,692,168
of 23,164,913 outputs
Outputs from Frontiers in Physiology
#8,304
of 13,915 outputs
Outputs of similar age
#256,449
of 343,088 outputs
Outputs of similar age from Frontiers in Physiology
#220
of 339 outputs
Altmetric has tracked 23,164,913 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 13,915 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 31st percentile – i.e., 31% 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 343,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 339 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.