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X Demographics
Mendeley readers
Attention Score in Context
Title |
Risk stratification of patients with familial hypercholesterolemia in a multi-ethnic cohort
|
---|---|
Published in |
Lipids in Health and Disease, April 2014
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DOI | 10.1186/1476-511x-13-65 |
Pubmed ID | |
Authors |
Matthew D Allard, Ramesh Saeedi, Masoud Yousefi, Jiri Frohlich |
Abstract |
Heterozygous Familial hypercholesterolemia (FH) is a common autosomal dominant disorder resulting in in very high blood cholesterol levels and premature cardiovascular disease (CVD). However, there is a wide variation in the occurrence of CVD in these patients. The aim of this study is to determine risk factors that are responsible for the variability of CVD events in FH patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 2% |
Canada | 1 | 2% |
Unknown | 54 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 14% |
Student > Bachelor | 7 | 13% |
Student > Master | 6 | 11% |
Student > Ph. D. Student | 5 | 9% |
Student > Doctoral Student | 4 | 7% |
Other | 7 | 13% |
Unknown | 19 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 34% |
Agricultural and Biological Sciences | 4 | 7% |
Psychology | 2 | 4% |
Computer Science | 2 | 4% |
Mathematics | 1 | 2% |
Other | 6 | 11% |
Unknown | 22 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 April 2014.
All research outputs
#18,370,767
of 22,753,345 outputs
Outputs from Lipids in Health and Disease
#981
of 1,440 outputs
Outputs of similar age
#165,409
of 228,038 outputs
Outputs of similar age from Lipids in Health and Disease
#16
of 22 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,440 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 228,038 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.