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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characteristic wave detection in ECG signal using morphological transform
|
|---|---|
| Published in |
BMC Cardiovascular Disorders, September 2005
|
| DOI | 10.1186/1471-2261-5-28 |
| Pubmed ID | |
| Authors |
Yan Sun, Kap Luk Chan, Shankar Muthu Krishnan |
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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 3 | 2% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Canada | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 111 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 25% |
| Student > Master | 28 | 23% |
| Researcher | 16 | 13% |
| Student > Bachelor | 9 | 7% |
| Student > Doctoral Student | 9 | 7% |
| Other | 13 | 11% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 50 | 41% |
| Computer Science | 24 | 20% |
| Medicine and Dentistry | 13 | 11% |
| Agricultural and Biological Sciences | 4 | 3% |
| Mathematics | 3 | 2% |
| Other | 7 | 6% |
| Unknown | 21 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 06 April 2023.
All research outputs
#4,520,894
of 24,129,125 outputs
Outputs from BMC Cardiovascular Disorders
#199
of 1,777 outputs
Outputs of similar age
#9,993
of 60,842 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#3
of 5 outputs
Altmetric has tracked 24,129,125 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,777 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 87% 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 60,842 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% 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 2 of them.