↓ Skip to main content

PLOS

Genetic Background of Patients from a University Medical Center in Manhattan: Implications for Personalized Medicine

Overview of attention for article published in PLOS ONE, May 2011
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
1 CiteULike
Title
Genetic Background of Patients from a University Medical Center in Manhattan: Implications for Personalized Medicine
Published in
PLOS ONE, May 2011
DOI 10.1371/journal.pone.0019166
Pubmed ID
Authors

Bamidele O. Tayo, Marie Teil, Liping Tong, Huaizhen Qin, Gregory Khitrov, Weijia Zhang, Quinbin Song, Omri Gottesman, Xiaofeng Zhu, Alexandre C. Pereira, Richard S. Cooper, Erwin P. Bottinger

Abstract

The rapid progress currently being made in genomic science has created interest in potential clinical applications; however, formal translational research has been limited thus far. Studies of population genetics have demonstrated substantial variation in allele frequencies and haplotype structure at loci of medical relevance and the genetic background of patient cohorts may often be complex.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 11%
Germany 2 3%
Switzerland 1 2%
Unknown 55 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 31%
Student > Ph. D. Student 14 22%
Professor > Associate Professor 6 9%
Other 5 8%
Professor 3 5%
Other 10 15%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 31%
Medicine and Dentistry 15 23%
Biochemistry, Genetics and Molecular Biology 5 8%
Neuroscience 3 5%
Nursing and Health Professions 2 3%
Other 10 15%
Unknown 10 15%