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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Performance of a Convolutional Neural Network and Explainability Technique for 12-Lead Electrocardiogram Interpretation
|
|---|---|
| Published in |
JAMA Cardiology, November 2021
|
| DOI | 10.1001/jamacardio.2021.2746 |
| Pubmed ID | |
| Authors |
J. Weston Hughes, Jeffrey E. Olgin, Robert Avram, Sean A. Abreau, Taylor Sittler, Kaahan Radia, Henry Hsia, Tomos Walters, Byron Lee, Joseph E. Gonzalez, Geoffrey H. Tison |
X Demographics
The data shown below were collected from the profiles of 53 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 | 20 | 38% |
| Sweden | 2 | 4% |
| Canada | 2 | 4% |
| Japan | 2 | 4% |
| United Kingdom | 2 | 4% |
| Italy | 1 | 2% |
| Germany | 1 | 2% |
| Australia | 1 | 2% |
| Venezuela, Bolivarian Republic of | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 18 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 62% |
| Scientists | 14 | 26% |
| Practitioners (doctors, other healthcare professionals) | 5 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 13% |
| Other | 11 | 11% |
| Student > Master | 9 | 9% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 7 | 7% |
| Other | 18 | 19% |
| Unknown | 32 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 16% |
| Computer Science | 16 | 16% |
| Biochemistry, Genetics and Molecular Biology | 10 | 10% |
| Engineering | 7 | 7% |
| Unspecified | 4 | 4% |
| Other | 7 | 7% |
| Unknown | 37 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 81. 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 15 April 2024.
All research outputs
#538,789
of 25,718,113 outputs
Outputs from JAMA Cardiology
#502
of 2,165 outputs
Outputs of similar age
#13,142
of 445,045 outputs
Outputs of similar age from JAMA Cardiology
#20
of 57 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,165 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 94.3. This one has done well, scoring higher than 76% 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 445,045 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 97% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.