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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins
|
|---|---|
| Published in |
Nature Communications, October 2014
|
| DOI | 10.1038/ncomms6068 |
| Pubmed ID | |
| Authors |
Iris Postmus, Stella Trompet, Harshal A. Deshmukh, Michael R. Barnes, Xiaohui Li, Helen R. Warren, Daniel I. Chasman, Kaixin Zhou, Benoit J. Arsenault, Louise A. Donnelly, Kerri L. Wiggins, Christy L. Avery, Paula Griffin, QiPing Feng, Kent D. Taylor, Guo Li, Daniel S. Evans, Albert V. Smith, Catherine E. de Keyser, Andrew D. Johnson, Anton J. M. de Craen, David J. Stott, Brendan M. Buckley, Ian Ford, Rudi G. J. Westendorp, P. Eline Slagboom, Naveed Sattar, Patricia B. Munroe, Peter Sever, Neil Poulter, Alice Stanton, Denis C. Shields, Eoin O’Brien, Sue Shaw-Hawkins, Y.-D. Ida Chen, Deborah A. Nickerson, Joshua D. Smith, Marie Pierre Dubé, S. Matthijs Boekholdt, G. Kees Hovingh, John J. P. Kastelein, Paul M. McKeigue, John Betteridge, Andrew Neil, Paul N. Durrington, Alex Doney, Fiona Carr, Andrew Morris, Mark I. McCarthy, Leif Groop, Emma Ahlqvist, Joshua C. Bis, Kenneth Rice, Nicholas L. Smith, Thomas Lumley, Eric A. Whitsel, Til Stürmer, Eric Boerwinkle, Julius S. Ngwa, Christopher J. O’Donnell, Ramachandran S. Vasan, Wei-Qi Wei, Russell A. Wilke, Ching-Ti Liu, Fangui Sun, Xiuqing Guo, Susan R Heckbert, Wendy Post, Nona Sotoodehnia, Alice M. Arnold, Jeanette M. Stafford, Jingzhong Ding, David M. Herrington, Stephen B. Kritchevsky, Gudny Eiriksdottir, Leonore J. Launer, Tamara B. Harris, Audrey Y. Chu, Franco Giulianini, Jean G. MacFadyen, Bryan J. Barratt, Fredrik Nyberg, Bruno H. Stricker, André G. Uitterlinden, Albert Hofman, Fernando Rivadeneira, Valur Emilsson, Oscar H. Franco, Paul M. Ridker, Vilmundur Gudnason, Yongmei Liu, Joshua C. Denny, Christie M. Ballantyne, Jerome I. Rotter, L. Adrienne Cupples, Bruce M. Psaty, Colin N. A. Palmer, Jean-Claude Tardif, Helen M. Colhoun, Graham Hitman, Ronald M. Krauss, J Wouter Jukema, Mark J. Caulfield |
| Abstract |
Statins effectively lower LDL cholesterol levels in large studies and the observed interindividual response variability may be partially explained by genetic variation. Here we perform a pharmacogenetic meta-analysis of genome-wide association studies (GWAS) in studies addressing the LDL cholesterol response to statins, including up to 18,596 statin-treated subjects. We validate the most promising signals in a further 22,318 statin recipients and identify two loci, SORT1/CELSR2/PSRC1 and SLCO1B1, not previously identified in GWAS. Moreover, we confirm the previously described associations with APOE and LPA. Our findings advance the understanding of the pharmacogenetic architecture of statin response. |
X Demographics
The data shown below were collected from the profiles of 45 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 | 16 | 36% |
| United Kingdom | 5 | 11% |
| France | 3 | 7% |
| Australia | 2 | 4% |
| Canada | 2 | 4% |
| Mexico | 2 | 4% |
| Nigeria | 1 | 2% |
| Finland | 1 | 2% |
| Netherlands | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 12 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 47% |
| Scientists | 18 | 40% |
| Practitioners (doctors, other healthcare professionals) | 6 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Mexico | 1 | <1% |
| United States | 1 | <1% |
| France | 1 | <1% |
| Unknown | 266 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 50 | 19% |
| Student > Ph. D. Student | 31 | 11% |
| Student > Master | 29 | 11% |
| Other | 23 | 9% |
| Student > Bachelor | 22 | 8% |
| Other | 64 | 24% |
| Unknown | 51 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 69 | 26% |
| Agricultural and Biological Sciences | 48 | 18% |
| Biochemistry, Genetics and Molecular Biology | 32 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 15 | 6% |
| Neuroscience | 6 | 2% |
| Other | 32 | 12% |
| Unknown | 68 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 91. 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 18 May 2022.
All research outputs
#472,145
of 25,837,817 outputs
Outputs from Nature Communications
#7,937
of 58,118 outputs
Outputs of similar age
#4,864
of 275,982 outputs
Outputs of similar age from Nature Communications
#65
of 745 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 58,118 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has done well, scoring higher than 86% 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 275,982 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 745 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 91% of its contemporaries.