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“It takes a village”: multilevel approaches to recruit African Americans and their families for genetic research

Overview of attention for article published in Journal of Community Genetics, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 364)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
22 Mendeley
Title
“It takes a village”: multilevel approaches to recruit African Americans and their families for genetic research
Published in
Journal of Community Genetics, August 2014
DOI 10.1007/s12687-014-0199-8
Pubmed ID
Authors

Heather M. Ochs-Balcom, Lina Jandorf, Youjin Wang, Detric Johnson, Veronica Meadows Ray, Mattye J. Willis, Deborah O. Erwin

Abstract

One barrier to searching for novel mutations in African American families with breast cancer is the challenge of effectively recruiting families-affected and non-affected relatives-into genetic research studies. Using a community-based participatory research (CBPR) orientation, we incorporated several evidence-based approaches through an iterative fashion to recruit for a breast cancer genetic epidemiology study in African Americans. Our combined methods allowed us to successfully recruit 341 African American women (247 with breast cancer and 94 relatives without breast cancer) from 127 families. Twenty-nine percent of participants were recruited through National Witness Project (NWP) sites, 11 % came from in-person encounters by NWP members, 34 % from the Love Army of Women, 24 % from previous epidemiologic studies, and 2 % from a support group. In terms of demographics, our varied recruitment methods/sources yielded samples of African American women that differ in terms of several sociodemographic factors such as education, smoking, and BMI, as well as family size. To successfully recruit African American families into epidemiological research, investigators should include community members in the recruitment processes, be flexible in the adoption of multipronged, iterative methods, and provide clear communication strategies about the underlying benefit to potential participants. Our results enhance our understanding of potential benefits and challenges associated with various recruitment methods. We offer a template for the design of future studies and suggest that generalizability may be better achieved by using multipronged approaches.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Researcher 4 18%
Other 2 9%
Student > Master 2 9%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 7 32%
Readers by discipline Count As %
Medicine and Dentistry 5 23%
Nursing and Health Professions 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Psychology 2 9%
Social Sciences 1 5%
Other 0 0%
Unknown 10 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 24 February 2015.
All research outputs
#1,887,070
of 22,789,076 outputs
Outputs from Journal of Community Genetics
#29
of 364 outputs
Outputs of similar age
#20,436
of 231,157 outputs
Outputs of similar age from Journal of Community Genetics
#1
of 7 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 364 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 92% 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 231,157 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them