| Title |
The Evolution of β-Blockers in Coronary Artery Disease and Heart Failure (Part 1/5)
|
|---|---|
| Published in |
JACC, August 2019
|
| DOI | 10.1016/j.jacc.2019.04.067 |
| Pubmed ID | |
| Authors |
Philip Joseph, Karl Swedberg, Darryl P. Leong, Salim Yusuf |
X Demographics
The data shown below were collected from the profiles of 261 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 36 | 14% |
| United States | 32 | 12% |
| Mexico | 12 | 5% |
| Colombia | 11 | 4% |
| Venezuela, Bolivarian Republic of | 10 | 4% |
| Argentina | 9 | 3% |
| Canada | 5 | 2% |
| Italy | 4 | 2% |
| Japan | 4 | 2% |
| Other | 36 | 14% |
| Unknown | 102 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 177 | 68% |
| Practitioners (doctors, other healthcare professionals) | 43 | 16% |
| Scientists | 28 | 11% |
| Science communicators (journalists, bloggers, editors) | 13 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 14% |
| Student > Postgraduate | 13 | 11% |
| Student > Bachelor | 13 | 11% |
| Other | 11 | 9% |
| Student > Master | 10 | 8% |
| Other | 27 | 22% |
| Unknown | 31 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 60 | 49% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 5% |
| Nursing and Health Professions | 5 | 4% |
| Agricultural and Biological Sciences | 4 | 3% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Other | 5 | 4% |
| Unknown | 38 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 147. 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 31 January 2024.
All research outputs
#285,883
of 25,837,817 outputs
Outputs from JACC
#643
of 16,938 outputs
Outputs of similar age
#5,535
of 362,303 outputs
Outputs of similar age from JACC
#14
of 196 outputs
Altmetric has tracked 25,837,817 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 16,938 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 96% 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 362,303 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 196 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.