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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ECGAssess: A Python-Based Toolbox to Assess ECG Lead Signal Quality
|
|---|---|
| Published in |
Frontiers in Digital Health, May 2022
|
| DOI | 10.3389/fdgth.2022.847555 |
| Pubmed ID | |
| Authors |
Linus Kramer, Carlo Menon, Mohamed Elgendi |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 17% |
| Student > Bachelor | 4 | 14% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Master | 2 | 7% |
| Other | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 9 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 28% |
| Medicine and Dentistry | 3 | 10% |
| Neuroscience | 3 | 10% |
| Nursing and Health Professions | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 9 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 08 May 2022.
All research outputs
#14,269,607
of 23,312,088 outputs
Outputs from Frontiers in Digital Health
#356
of 579 outputs
Outputs of similar age
#205,148
of 442,003 outputs
Outputs of similar age from Frontiers in Digital Health
#48
of 64 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 579 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 34th percentile – i.e., 34% 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 442,003 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.