| Title |
Imaging of Clinically Unrecognized Myocardial Fibrosis in Patients With Suspected Coronary Artery Disease
|
|---|---|
| Published in |
JACC, August 2020
|
| DOI | 10.1016/j.jacc.2020.06.063 |
| Pubmed ID | |
| Authors |
Panagiotis Antiochos, Yin Ge, Kevin Steel, Scott Bingham, Shuaib Abdullah, J. Ronald Mikolich, Andrew E. Arai, W. Patricia Bandettini, Amit R. Patel, Afshin Farzaneh-Far, John F. Heitner, Chetan Shenoy, Steve W. Leung, Jorge A. Gonzalez, Dipan J. Shah, Subha V. Raman, Victor A. Ferrari, Jeanette Schulz-Menger, Matthias Stuber, Orlando P. Simonetti, Raymond Y. Kwong, SPINS Study Investigators |
X Demographics
The data shown below were collected from the profiles of 65 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 | 37% |
| United Kingdom | 8 | 12% |
| India | 1 | 2% |
| Greece | 1 | 2% |
| Germany | 1 | 2% |
| Saudi Arabia | 1 | 2% |
| Cabo Verde | 1 | 2% |
| Iran, Islamic Republic of | 1 | 2% |
| Belgium | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 24 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 35 | 54% |
| Scientists | 13 | 20% |
| Practitioners (doctors, other healthcare professionals) | 11 | 17% |
| Science communicators (journalists, bloggers, editors) | 6 | 9% |
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 % |
|---|---|---|
| Researcher | 8 | 23% |
| Student > Master | 5 | 14% |
| Student > Doctoral Student | 4 | 11% |
| Student > Bachelor | 4 | 11% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 51% |
| Engineering | 2 | 6% |
| Sports and Recreations | 2 | 6% |
| Computer Science | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 16 March 2021.
All research outputs
#798,366
of 25,387,668 outputs
Outputs from JACC
#2,006
of 16,743 outputs
Outputs of similar age
#23,648
of 426,806 outputs
Outputs of similar age from JACC
#67
of 249 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,743 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 well, scoring higher than 88% 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 426,806 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 94% of its contemporaries.
We're also able to compare this research output to 249 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 73% of its contemporaries.