| Title |
Artificial Intelligence in Cardiovascular Imaging JACC State-of-the-Art Review
|
|---|---|
| Published in |
JACC, March 2019
|
| DOI | 10.1016/j.jacc.2018.12.054 |
| Pubmed ID | |
| Authors |
Damini Dey, Piotr J. Slomka, Paul Leeson, Dorin Comaniciu, Sirish Shrestha, Partho P. Sengupta, Thomas H. Marwick |
X Demographics
The data shown below were collected from the profiles of 124 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 | 24 | 19% |
| Spain | 21 | 17% |
| United Kingdom | 8 | 6% |
| Argentina | 7 | 6% |
| Venezuela, Bolivarian Republic of | 5 | 4% |
| Canada | 3 | 2% |
| Belgium | 2 | 2% |
| Mexico | 2 | 2% |
| India | 2 | 2% |
| Other | 11 | 9% |
| Unknown | 39 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 83 | 67% |
| Scientists | 16 | 13% |
| Practitioners (doctors, other healthcare professionals) | 15 | 12% |
| Science communicators (journalists, bloggers, editors) | 10 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 534 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 534 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 67 | 13% |
| Student > Ph. D. Student | 47 | 9% |
| Student > Bachelor | 44 | 8% |
| Student > Master | 42 | 8% |
| Other | 37 | 7% |
| Other | 92 | 17% |
| Unknown | 205 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 123 | 23% |
| Computer Science | 61 | 11% |
| Engineering | 40 | 7% |
| Biochemistry, Genetics and Molecular Biology | 14 | 3% |
| Nursing and Health Professions | 10 | 2% |
| Other | 55 | 10% |
| Unknown | 231 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 106. 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 02 November 2022.
All research outputs
#403,466
of 25,718,113 outputs
Outputs from JACC
#965
of 16,914 outputs
Outputs of similar age
#9,191
of 369,137 outputs
Outputs of similar age from JACC
#28
of 390 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 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,914 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.1. This one has done particularly well, scoring higher than 94% 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 369,137 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 390 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.