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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Medicine-Based Evidence in Congenital Heart Disease: How Artificial Intelligence Can Guide Treatment Decisions for Individual Patients
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, December 2021
|
| DOI | 10.3389/fcvm.2021.798215 |
| Pubmed ID | |
| Authors |
Jef Van den Eynde, Cedric Manlhiot, Alexander Van De Bruaene, Gerhard-Paul Diller, Alejandro F. Frangi, Werner Budts, Shelby Kutty |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 7% |
| Japan | 1 | 7% |
| United States | 1 | 7% |
| Netherlands | 1 | 7% |
| Unknown | 11 | 73% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 67% |
| Scientists | 3 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 11% |
| Student > Master | 3 | 9% |
| Student > Postgraduate | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Lecturer | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 20 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 11% |
| Nursing and Health Professions | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Business, Management and Accounting | 2 | 6% |
| Computer Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 20 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 February 2023.
All research outputs
#4,781,394
of 25,339,932 outputs
Outputs from Frontiers in Cardiovascular Medicine
#773
of 9,143 outputs
Outputs of similar age
#108,017
of 517,845 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#59
of 753 outputs
Altmetric has tracked 25,339,932 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,143 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 91% 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 517,845 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 79% of its contemporaries.
We're also able to compare this research output to 753 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.