| Title |
A Mechanism for Statin-Induced Susceptibility to Myopathy
|
|---|---|
| Published in |
JACC: Basic to Translational Science, August 2019
|
| DOI | 10.1016/j.jacbts.2019.03.012 |
| Pubmed ID | |
| Authors |
Sabine Lotteau, Niklas Ivarsson, Zhaokang Yang, Damien Restagno, John Colyer, Philip Hopkins, Andrew Weightman, Koichi Himori, Takashi Yamada, Joseph Bruton, Derek Steele, Håkan Westerblad, Sarah Calaghan |
X Demographics
The data shown below were collected from the profiles of 128 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 Kingdom | 15 | 12% |
| United States | 13 | 10% |
| Colombia | 7 | 5% |
| Spain | 6 | 5% |
| Japan | 6 | 5% |
| Australia | 4 | 3% |
| Venezuela, Bolivarian Republic of | 3 | 2% |
| Mexico | 3 | 2% |
| Brazil | 2 | 2% |
| Other | 22 | 17% |
| Unknown | 47 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 86 | 67% |
| Practitioners (doctors, other healthcare professionals) | 19 | 15% |
| Scientists | 17 | 13% |
| Science communicators (journalists, bloggers, editors) | 6 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 13% |
| Student > Bachelor | 8 | 10% |
| Researcher | 7 | 9% |
| Other | 4 | 5% |
| Student > Postgraduate | 4 | 5% |
| Other | 13 | 17% |
| Unknown | 31 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 10% |
| Agricultural and Biological Sciences | 6 | 8% |
| Nursing and Health Professions | 6 | 8% |
| Neuroscience | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 32 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 166. 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 21 November 2023.
All research outputs
#249,094
of 25,728,855 outputs
Outputs from JACC: Basic to Translational Science
#19
of 822 outputs
Outputs of similar age
#4,821
of 350,901 outputs
Outputs of similar age from JACC: Basic to Translational Science
#2
of 20 outputs
Altmetric has tracked 25,728,855 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 822 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. 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 350,901 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 20 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 90% of its contemporaries.