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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ascertainment Bias in the Association Between Elevated Lipoprotein(a) and Familial Hypercholesterolemia
|
|---|---|
| Published in |
JACC, June 2020
|
| DOI | 10.1016/j.jacc.2020.03.065 |
| Pubmed ID | |
| Authors |
Mark Trinder, Maria L. DeCastro, Hawmid Azizi, Luba Cermakova, Linda M. Jackson, Jiri Frohlich, G.B. John Mancini, Gordon A. Francis, Liam R. Brunham |
X Demographics
The data shown below were collected from the profiles of 39 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 | 11 | 28% |
| Canada | 6 | 15% |
| Italy | 2 | 5% |
| Kazakhstan | 1 | 3% |
| France | 1 | 3% |
| China | 1 | 3% |
| Ecuador | 1 | 3% |
| Mexico | 1 | 3% |
| United Kingdom | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 10 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 56% |
| Scientists | 12 | 31% |
| Practitioners (doctors, other healthcare professionals) | 3 | 8% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 20% |
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 3 | 6% |
| Unspecified | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 13 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 41% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Agricultural and Biological Sciences | 2 | 4% |
| Unspecified | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 13 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 February 2022.
All research outputs
#1,247,047
of 25,411,814 outputs
Outputs from JACC
#2,998
of 16,746 outputs
Outputs of similar age
#36,985
of 433,111 outputs
Outputs of similar age from JACC
#79
of 240 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,746 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 well, scoring higher than 82% 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 433,111 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 91% of its contemporaries.
We're also able to compare this research output to 240 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.