| Title |
Artificial Intelligence in Cardiology
|
|---|---|
| Published in |
JACC, June 2018
|
| DOI | 10.1016/j.jacc.2018.03.521 |
| Pubmed ID | |
| Authors |
Kipp W. Johnson, Jessica Torres Soto, Benjamin S. Glicksberg, Khader Shameer, Riccardo Miotto, Mohsin Ali, Euan Ashley, Joel T. Dudley |
X Demographics
The data shown below were collected from the profiles of 295 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 | 73 | 25% |
| Spain | 16 | 5% |
| United Kingdom | 16 | 5% |
| Canada | 9 | 3% |
| India | 8 | 3% |
| France | 7 | 2% |
| Australia | 4 | 1% |
| Chile | 4 | 1% |
| Mexico | 4 | 1% |
| Other | 59 | 20% |
| Unknown | 95 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 199 | 67% |
| Scientists | 56 | 19% |
| Practitioners (doctors, other healthcare professionals) | 28 | 9% |
| Science communicators (journalists, bloggers, editors) | 11 | 4% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,399 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1399 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 134 | 10% |
| Student > Ph. D. Student | 131 | 9% |
| Researcher | 118 | 8% |
| Student > Master | 118 | 8% |
| Other | 70 | 5% |
| Other | 248 | 18% |
| Unknown | 580 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 254 | 18% |
| Computer Science | 146 | 10% |
| Engineering | 100 | 7% |
| Biochemistry, Genetics and Molecular Biology | 37 | 3% |
| Business, Management and Accounting | 24 | 2% |
| Other | 187 | 13% |
| Unknown | 651 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 213. 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 26 February 2024.
All research outputs
#185,344
of 26,017,215 outputs
Outputs from JACC
#412
of 17,066 outputs
Outputs of similar age
#4,022
of 346,820 outputs
Outputs of similar age from JACC
#10
of 188 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,066 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has done particularly well, scoring higher than 97% 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 346,820 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 98% of its contemporaries.
We're also able to compare this research output to 188 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 94% of its contemporaries.