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Genetic Ancestry, Self-Reported Race and Ethnicity in African Americans and European Americans in the PCaP Cohort

Overview of attention for article published in PLOS ONE, March 2012
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Title
Genetic Ancestry, Self-Reported Race and Ethnicity in African Americans and European Americans in the PCaP Cohort
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0030950
Pubmed ID
Authors

Lara E. Sucheston, Jeannette T. Bensen, Zongli Xu, Prashant K. Singh, Leah Preus, James L. Mohler, L. Joseph Su, Elizabeth T. H. Fontham, Bernardo Ruiz, Gary J. Smith, Jack A. Taylor

Abstract

Family history and African-American race are important risk factors for both prostate cancer (CaP) incidence and aggressiveness. When studying complex diseases such as CaP that have a heritable component, chances of finding true disease susceptibility alleles can be increased by accounting for genetic ancestry within the population investigated. Race, ethnicity and ancestry were studied in a geographically diverse cohort of men with newly diagnosed CaP.

X Demographics

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The data shown below were collected from the profiles of 2 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Philippines 1 3%
United States 1 3%
France 1 3%
Brazil 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Student > Master 6 17%
Student > Bachelor 4 11%
Student > Ph. D. Student 4 11%
Professor > Associate Professor 3 9%
Other 7 20%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 37%
Medicine and Dentistry 6 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Environmental Science 2 6%
Other 4 11%
Unknown 6 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 June 2019.
All research outputs
#15,298,293
of 22,751,628 outputs
Outputs from PLOS ONE
#130,425
of 194,172 outputs
Outputs of similar age
#102,192
of 160,292 outputs
Outputs of similar age from PLOS ONE
#2,352
of 3,701 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,172 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 160,292 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,701 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.