| Title |
Emerging Techniques for Risk Stratification in Nonischemic Dilated Cardiomyopathy JACC Review Topic of the Week
|
|---|---|
| Published in |
JACC, March 2020
|
| DOI | 10.1016/j.jacc.2019.12.058 |
| Pubmed ID | |
| Authors |
Benjamin A. Marrow, Stuart A. Cook, Sanjay K. Prasad, Gerry P. McCann |
X Demographics
The data shown below were collected from the profiles of 46 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 | 10 | 22% |
| United Kingdom | 5 | 11% |
| Spain | 3 | 7% |
| Japan | 2 | 4% |
| Canada | 2 | 4% |
| Colombia | 2 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 2% |
| Germany | 1 | 2% |
| Uruguay | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 14 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 57% |
| Scientists | 8 | 17% |
| Practitioners (doctors, other healthcare professionals) | 7 | 15% |
| Science communicators (journalists, bloggers, editors) | 5 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 14% |
| Student > Ph. D. Student | 10 | 12% |
| Other | 9 | 11% |
| Student > Master | 7 | 9% |
| Student > Postgraduate | 6 | 7% |
| Other | 9 | 11% |
| Unknown | 29 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 40% |
| Computer Science | 3 | 4% |
| Social Sciences | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 2% |
| Nursing and Health Professions | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 34 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 27 March 2020.
All research outputs
#1,407,754
of 25,481,734 outputs
Outputs from JACC
#3,317
of 16,746 outputs
Outputs of similar age
#34,158
of 383,882 outputs
Outputs of similar age from JACC
#93
of 354 outputs
Altmetric has tracked 25,481,734 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,746 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 well, scoring higher than 80% 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 383,882 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 91% of its contemporaries.
We're also able to compare this research output to 354 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 74% of its contemporaries.