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Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function

Overview of attention for article published in Nature Genetics, December 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)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Citations

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542 Dimensions

Readers on

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271 Mendeley
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1 CiteULike
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Title
Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function
Published in
Nature Genetics, December 2009
DOI 10.1038/ng.500
Pubmed ID
Authors

Dana B Hancock, Mark Eijgelsheim, Jemma B Wilk, Sina A Gharib, Laura R Loehr, Kristin D Marciante, Nora Franceschini, Yannick M T A van Durme, Ting-hsu Chen, R Graham Barr, Matthew B Schabath, David J Couper, Guy G Brusselle, Bruce M Psaty, Cornelia M van Duijn, Jerome I Rotter, André G Uitterlinden, Albert Hofman, Naresh M Punjabi, Fernando Rivadeneira, Alanna C Morrison, Paul L Enright, Kari E North, Susan R Heckbert, Thomas Lumley, Bruno H C Stricker, George T O'Connor, Stephanie J London

Abstract

Spirometric measures of lung function are heritable traits that reflect respiratory health and predict morbidity and mortality. We meta-analyzed genome-wide association studies for two clinically important lung-function measures: forced expiratory volume in the first second (FEV(1)) and its ratio to forced vital capacity (FEV(1)/FVC), an indicator of airflow obstruction. This meta-analysis included 20,890 participants of European ancestry from four CHARGE Consortium studies: Atherosclerosis Risk in Communities, Cardiovascular Health Study, Framingham Heart Study and Rotterdam Study. We identified eight loci associated with FEV(1)/FVC (HHIP, GPR126, ADAM19, AGER-PPT2, FAM13A, PTCH1, PID1 and HTR4) and one locus associated with FEV(1) (INTS12-GSTCD-NPNT) at or near genome-wide significance (P < 5 x 10(-8)) in the CHARGE Consortium dataset. Our findings may offer insights into pulmonary function and pathogenesis of chronic lung disease.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 2%
Canada 3 1%
United States 2 <1%
Japan 2 <1%
Germany 1 <1%
Hungary 1 <1%
Norway 1 <1%
Portugal 1 <1%
Mexico 1 <1%
Other 0 0%
Unknown 254 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 70 26%
Student > Ph. D. Student 57 21%
Student > Master 24 9%
Student > Bachelor 19 7%
Professor > Associate Professor 16 6%
Other 57 21%
Unknown 28 10%
Readers by discipline Count As %
Medicine and Dentistry 76 28%
Agricultural and Biological Sciences 68 25%
Biochemistry, Genetics and Molecular Biology 55 20%
Immunology and Microbiology 6 2%
Social Sciences 5 2%
Other 21 8%
Unknown 40 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 29 December 2018.
All research outputs
#2,906,956
of 25,837,817 outputs
Outputs from Nature Genetics
#3,297
of 7,639 outputs
Outputs of similar age
#13,698
of 177,694 outputs
Outputs of similar age from Nature Genetics
#22
of 51 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% 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 56% 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 177,694 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 51 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 56% of its contemporaries.