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Mendeley readers
Attention Score in Context
| Title |
Discovery and refinement of genetic loci associated with cardiometabolic risk using dense imputation maps
|
|---|---|
| Published in |
Nature Genetics, September 2016
|
| DOI | 10.1038/ng.3668 |
| Pubmed ID | |
| Authors |
Valentina Iotchkova, Jie Huang, John A Morris, Deepti Jain, Caterina Barbieri, Klaudia Walter, Josine L Min, Lu Chen, William Astle, Massimilian Cocca, Patrick Deelen, Heather Elding, Aliki-Eleni Farmaki, Christopher S Franklin, Mattias Franberg, Tom R Gaunt, Albert Hofman, Tao Jiang, Marcus E Kleber, Genevieve Lachance, Jian'an Luan, Giovanni Malerba, Angela Matchan, Daniel Mead, Yasin Memari, Ioanna Ntalla, Kalliope Panoutsopoulou, Raha Pazoki, John R B Perry, Fernando Rivadeneira, Maria Sabater-Lleal, Bengt Sennblad, So-Youn Shin, Lorraine Southam, Michela Traglia, Freerk van Dijk, Elisabeth M van Leeuwen, Gianluigi Zaza, Weihua Zhang, Najaf Amin, Adam Butterworth, John C Chambers, George Dedoussis, Abbas Dehghan, Oscar H Franco, Lude Franke, Mattia Frontini, Giovanni Gambaro, Paolo Gasparini, Anders Hamsten, Aaron Issacs, Jaspal S Kooner, Charles Kooperberg, Claudia Langenberg, Winfried Marz, Robert A Scott, Morris A Swertz, Daniela Toniolo, Andre G Uitterlinden, Cornelia M van Duijn, Hugh Watkins, Eleftheria Zeggini, Mathew T Maurano, Nicholas J Timpson, Alexander P Reiner, Paul L Auer, Nicole Soranzo |
| Abstract |
Large-scale whole-genome sequence data sets offer novel opportunities to identify genetic variation underlying human traits. Here we apply genotype imputation based on whole-genome sequence data from the UK10K and 1000 Genomes Project into 35,981 study participants of European ancestry, followed by association analysis with 20 quantitative cardiometabolic and hematological traits. We describe 17 new associations, including 6 rare (minor allele frequency (MAF) < 1%) or low-frequency (1% < MAF < 5%) variants with platelet count (PLT), red blood cell indices (MCH and MCV) and HDL cholesterol. Applying fine-mapping analysis to 233 known and new loci associated with the 20 traits, we resolve the associations of 59 loci to credible sets of 20 or fewer variants and describe trait enrichments within regions of predicted regulatory function. These findings improve understanding of the allelic architecture of risk factors for cardiometabolic and hematological diseases and provide additional functional insights with the identification of potentially novel biological targets. |
X Demographics
The data shown below were collected from the profiles of 35 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 | 6 | 17% |
| United Kingdom | 3 | 9% |
| Qatar | 2 | 6% |
| Switzerland | 1 | 3% |
| Italy | 1 | 3% |
| Andorra | 1 | 3% |
| Sao Tome and Principe | 1 | 3% |
| Finland | 1 | 3% |
| Unknown | 19 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 60% |
| Scientists | 13 | 37% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 142 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 50 | 34% |
| Student > Ph. D. Student | 23 | 16% |
| Professor > Associate Professor | 11 | 7% |
| Professor | 10 | 7% |
| Other | 8 | 5% |
| Other | 25 | 17% |
| Unknown | 20 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 31% |
| Biochemistry, Genetics and Molecular Biology | 31 | 21% |
| Medicine and Dentistry | 24 | 16% |
| Computer Science | 7 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
| Other | 10 | 7% |
| Unknown | 27 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 85. 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 19 December 2018.
All research outputs
#509,744
of 25,837,817 outputs
Outputs from Nature Genetics
#1,024
of 7,639 outputs
Outputs of similar age
#9,658
of 334,596 outputs
Outputs of similar age from Nature Genetics
#29
of 77 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 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. 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 334,596 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 96% of its contemporaries.
We're also able to compare this research output to 77 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 62% of its contemporaries.