| Title |
Potential utility of the SAFEHEART risk equation for rationalising the use of PCSK9 monoclonal antibodies in adults with heterozygous familial hypercholesterolemia
|
|---|---|
| Published in |
Atherosclerosis (00219150), May 2019
|
| DOI | 10.1016/j.atherosclerosis.2019.05.003 |
| Pubmed ID | |
| Authors |
Leopoldo Pérez de Isla, Kausik K Ray, Gerald F Watts, Raul D Santos, Rodrigo Alonso, Ovidio Muñiz-Grijalvo, Jose Luis Diaz-Diaz, Lina Badimon, Alberico L Catapano, Pedro Mata |
X Demographics
The data shown below were collected from the profiles of 17 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 | 3 | 18% |
| United States | 3 | 18% |
| Brazil | 2 | 12% |
| Chile | 2 | 12% |
| France | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Science communicators (journalists, bloggers, editors) | 3 | 18% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 14% |
| Researcher | 5 | 14% |
| Other | 3 | 8% |
| Professor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 14 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 30% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Psychology | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 16 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 11 July 2020.
All research outputs
#3,116,197
of 25,728,855 outputs
Outputs from Atherosclerosis (00219150)
#624
of 5,632 outputs
Outputs of similar age
#63,524
of 364,151 outputs
Outputs of similar age from Atherosclerosis (00219150)
#9
of 60 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,632 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 364,151 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.