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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of low-density lipoprotein cholesterol gene score to distinguish patients with polygenic and monogenic familial hypercholesterolaemia: a case-control study
|
|---|---|
| Published in |
The Lancet, February 2013
|
| DOI | 10.1016/s0140-6736(12)62127-8 |
| Pubmed ID | |
| Authors |
Philippa J Talmud, Sonia Shah, Ros Whittall, Marta Futema, Philip Howard, Jackie A Cooper, Seamus C Harrison, KaWah Li, Fotios Drenos, Frederik Karpe, H Andrew W Neil, Olivier S Descamps, Claudia Langenberg, Nicholas Lench, Mika Kivimaki, John Whittaker, Aroon D Hingorani, Meena Kumari, Steve E Humphries |
X Demographics
The data shown below were collected from the profiles of 15 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 | 4 | 27% |
| United Kingdom | 2 | 13% |
| Argentina | 1 | 7% |
| Mexico | 1 | 7% |
| Canada | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 40% |
| Members of the public | 5 | 33% |
| Practitioners (doctors, other healthcare professionals) | 3 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 421 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Netherlands | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Canada | 1 | <1% |
| New Zealand | 1 | <1% |
| Mexico | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 411 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 69 | 16% |
| Student > Ph. D. Student | 61 | 14% |
| Student > Master | 41 | 10% |
| Student > Bachelor | 38 | 9% |
| Other | 30 | 7% |
| Other | 77 | 18% |
| Unknown | 105 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 146 | 35% |
| Biochemistry, Genetics and Molecular Biology | 66 | 16% |
| Agricultural and Biological Sciences | 53 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 1% |
| Nursing and Health Professions | 5 | 1% |
| Other | 27 | 6% |
| Unknown | 118 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 61. 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 25 March 2023.
All research outputs
#710,196
of 25,837,817 outputs
Outputs from The Lancet
#6,000
of 43,003 outputs
Outputs of similar age
#4,636
of 206,750 outputs
Outputs of similar age from The Lancet
#57
of 513 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 43,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.1. This one has done well, scoring higher than 85% 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 206,750 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 97% of its contemporaries.
We're also able to compare this research output to 513 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.