Title |
Clinical Genetic Testing for Familial Hypercholesterolemia JACC Scientific Expert Panel
|
---|---|
Published in |
JACC, August 2018
|
DOI | 10.1016/j.jacc.2018.05.044 |
Pubmed ID | |
Authors |
Amy C. Sturm, Joshua W. Knowles, Samuel S. Gidding, Zahid S. Ahmad, Catherine D. Ahmed, Christie M. Ballantyne, Seth J. Baum, Mafalda Bourbon, Alain Carrié, Marina Cuchel, Sarah D. de Ferranti, Joep C. Defesche, Tomas Freiberger, Ray E. Hershberger, G. Kees Hovingh, Lala Karayan, Johannes Jacob Pieter Kastelein, Iris Kindt, Stacey R. Lane, Sarah E. Leigh, MacRae F. Linton, Pedro Mata, William A. Neal, Børge G. Nordestgaard, Raul D. Santos, Mariko Harada-Shiba, Eric J. Sijbrands, Nathan O. Stitziel, Shizuya Yamashita, Katherine A. Wilemon, David H. Ledbetter, Daniel J. Rader, Convened by the Familial Hypercholesterolemia Foundation |
X Demographics
The data shown below were collected from the profiles of 182 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 | 70 | 38% |
Spain | 11 | 6% |
Japan | 3 | 2% |
Poland | 3 | 2% |
Mexico | 3 | 2% |
United Kingdom | 3 | 2% |
Venezuela, Bolivarian Republic of | 3 | 2% |
Canada | 3 | 2% |
Australia | 2 | 1% |
Other | 15 | 8% |
Unknown | 66 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 114 | 63% |
Scientists | 39 | 21% |
Practitioners (doctors, other healthcare professionals) | 23 | 13% |
Science communicators (journalists, bloggers, editors) | 6 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 412 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 412 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 52 | 13% |
Researcher | 46 | 11% |
Student > Master | 36 | 9% |
Student > Ph. D. Student | 35 | 8% |
Other | 32 | 8% |
Other | 68 | 17% |
Unknown | 143 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 119 | 29% |
Biochemistry, Genetics and Molecular Biology | 64 | 16% |
Agricultural and Biological Sciences | 15 | 4% |
Nursing and Health Professions | 13 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 10 | 2% |
Other | 27 | 7% |
Unknown | 164 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 522. 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 05 March 2024.
All research outputs
#48,880
of 26,017,215 outputs
Outputs from JACC
#119
of 17,066 outputs
Outputs of similar age
#971
of 345,799 outputs
Outputs of similar age from JACC
#4
of 233 outputs
Altmetric has tracked 26,017,215 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 17,066 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 particularly well, scoring higher than 99% 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 345,799 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 99% of its contemporaries.
We're also able to compare this research output to 233 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 98% of its contemporaries.