↓ Skip to main content

PLOS

Genetic Ancestry-Smoking Interactions and Lung Function in African Americans: A Cohort Study

Overview of attention for article published in PLOS ONE, June 2012
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
5 X users
facebook
1 Facebook page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
52 Mendeley
Title
Genetic Ancestry-Smoking Interactions and Lung Function in African Americans: A Cohort Study
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0039541
Pubmed ID
Authors

Melinda C. Aldrich, Rajesh Kumar, Laura A. Colangelo, L. Keoki Williams, Saunak Sen, Stephen B. Kritchevsky, Bernd Meibohm, Joshua Galanter, Donglei Hu, Christopher R. Gignoux, Yongmei Liu, Tamara B. Harris, Elad Ziv, Joseph Zmuda, Melissa Garcia, Tennille S. Leak, Marilyn G. Foreman, Lewis J. Smith, Myriam Fornage, Kiang Liu, Esteban G. Burchard

Abstract

Smoking tobacco reduces lung function. African Americans have both lower lung function and decreased metabolism of tobacco smoke compared to European Americans. African ancestry is also associated with lower pulmonary function in African Americans. We aimed to determine whether African ancestry modifies the association between smoking and lung function and its rate of decline in African Americans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Researcher 10 19%
Student > Master 5 10%
Student > Bachelor 4 8%
Professor 4 8%
Other 8 15%
Unknown 10 19%
Readers by discipline Count As %
Medicine and Dentistry 15 29%
Biochemistry, Genetics and Molecular Biology 5 10%
Agricultural and Biological Sciences 5 10%
Nursing and Health Professions 4 8%
Mathematics 2 4%
Other 7 13%
Unknown 14 27%