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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic QRS complex detection using two-level convolutional neural network
|
|---|---|
| Published in |
BioMedical Engineering OnLine, January 2018
|
| DOI | 10.1186/s12938-018-0441-4 |
| Pubmed ID | |
| Authors |
Yande Xiang, Zhitao Lin, Jianyi Meng |
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 % |
|---|---|---|
| Canada | 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 120 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 16% |
| Student > Master | 14 | 12% |
| Student > Bachelor | 14 | 12% |
| Researcher | 8 | 7% |
| Student > Postgraduate | 4 | 3% |
| Other | 15 | 13% |
| Unknown | 46 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 25 | 21% |
| Computer Science | 24 | 20% |
| Medicine and Dentistry | 5 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Materials Science | 3 | 3% |
| Other | 10 | 8% |
| Unknown | 50 | 42% |
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 30 March 2018.
All research outputs
#15,708,439
of 23,342,092 outputs
Outputs from BioMedical Engineering OnLine
#431
of 833 outputs
Outputs of similar age
#272,418
of 443,368 outputs
Outputs of similar age from BioMedical Engineering OnLine
#10
of 19 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 833 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 35th percentile – i.e., 35% 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 443,368 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.