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A genome-wide meta-analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium

Overview of attention for article published in Nature Genetics, October 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
patent
1 patent
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
458 Dimensions

Readers on

mendeley
335 Mendeley
citeulike
2 CiteULike
connotea
2 Connotea
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Title
A genome-wide meta-analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium
Published in
Nature Genetics, October 2009
DOI 10.1038/ng.467
Pubmed ID
Authors

Nicole Soranzo, Tim D Spector, Massimo Mangino, Brigitte Kühnel, Augusto Rendon, Alexander Teumer, Christina Willenborg, Benjamin Wright, Li Chen, Mingyao Li, Perttu Salo, Benjamin F Voight, Philippa Burns, Roman A Laskowski, Yali Xue, Stephan Menzel, David Altshuler, John R Bradley, Suzannah Bumpstead, Mary-Susan Burnett, Joseph Devaney, Angela Döring, Roberto Elosua, Stephen E Epstein, Wendy Erber, Mario Falchi, Stephen F Garner, Mohammed J R Ghori, Alison H Goodall, Rhian Gwilliam, Hakon H Hakonarson, Alistair S Hall, Naomi Hammond, Christian Hengstenberg, Thomas Illig, Inke R König, Christopher W Knouff, Ruth McPherson, Olle Melander, Vincent Mooser, Matthias Nauck, Markku S Nieminen, Christopher J O'Donnell, Leena Peltonen, Simon C Potter, Holger Prokisch, Daniel J Rader, Catherine M Rice, Robert Roberts, Veikko Salomaa, Jennifer Sambrook, Stefan Schreiber, Heribert Schunkert, Stephen M Schwartz, Jovana Serbanovic-Canic, Juha Sinisalo, David S Siscovick, Klaus Stark, Ida Surakka, Jonathan Stephens, John R Thompson, Uwe Völker, Henry Völzke, Nicholas A Watkins, George A Wells, H-Erich Wichmann, David A Van Heel, Chris Tyler-Smith, Swee Lay Thein, Sekar Kathiresan, Markus Perola, Muredach P Reilly, Alexandre F R Stewart, Jeanette Erdmann, Nilesh J Samani, Christa Meisinger, Andreas Greinacher, Panos Deloukas, Willem H Ouwehand, Christian Gieger

Abstract

The number and volume of cells in the blood affect a wide range of disorders including cancer and cardiovascular, metabolic, infectious and immune conditions. We consider here the genetic variation in eight clinically relevant hematological parameters, including hemoglobin levels, red and white blood cell counts and platelet counts and volume. We describe common variants within 22 genetic loci reproducibly associated with these hematological parameters in 13,943 samples from six European population-based studies, including 6 associated with red blood cell parameters, 15 associated with platelet parameters and 1 associated with total white blood cell count. We further identified a long-range haplotype at 12q24 associated with coronary artery disease and myocardial infarction in 9,479 cases and 10,527 controls. We show that this haplotype demonstrates extensive disease pleiotropy, as it contains known risk loci for type 1 diabetes, hypertension and celiac disease and has been spread by a selective sweep specific to European and geographically nearby populations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 335 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 3%
United Kingdom 5 1%
Germany 2 <1%
Italy 1 <1%
Brazil 1 <1%
Ireland 1 <1%
Sweden 1 <1%
Greece 1 <1%
Spain 1 <1%
Other 0 0%
Unknown 312 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 83 25%
Student > Ph. D. Student 79 24%
Professor 26 8%
Student > Master 25 7%
Professor > Associate Professor 20 6%
Other 69 21%
Unknown 33 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 124 37%
Medicine and Dentistry 71 21%
Biochemistry, Genetics and Molecular Biology 56 17%
Mathematics 6 2%
Nursing and Health Professions 6 2%
Other 27 8%
Unknown 45 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 05 February 2024.
All research outputs
#2,387,699
of 26,017,215 outputs
Outputs from Nature Genetics
#2,975
of 7,639 outputs
Outputs of similar age
#7,836
of 111,012 outputs
Outputs of similar age from Nature Genetics
#26
of 53 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% 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 gotten more attention than average, scoring higher than 60% 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 111,012 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 53 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.