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Racial Differences in Factors that Influence the Willingness to Participate in Medical Research Studies

Overview of attention for article published in Annals of Epidemiology, May 2002
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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 (97th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

blogs
1 blog
policy
4 policy sources

Readers on

mendeley
186 Mendeley
connotea
1 Connotea
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Article details
Title
Racial Differences in Factors that Influence the Willingness to Participate in Medical Research Studies
Published in
Annals of Epidemiology, May 2002
DOI 10.1016/s1047-2797(01)00265-4
Pubmed ID
Authors
Abstract

The relative absence of racial/ethnic minorities among medical research subjects is receiving considerable attention because of recent government mandates for their inclusion in all human subject research. We examined racial differences in the prevalence of sociocultural barriers as a possible explanation for the underrepresentation of African Americans in medical research studies. During 1998-1999, a total of 198 residents of the Detroit Primary Metropolitan Statistical Area (PMSA) participated in a survey that examined impediments to participation in medical research studies. Chi square tests and logistic regression analyses were used to examine the association between race, issues related to trust of medical researchers, and the willingness to participate in medical research studies. Study results indicate that African Americans and whites differ in their willingness to participate in medical research. Racial differences in the willingness to participate in a medical research are primarily due to the lower level of trust of medical research among African Americans. African American respondents were also somewhat less willing to participate if they attribute high importance to the race of the doctor when seeking routine medical care, believed that minorities bear most of the risks of medical research, and if their knowledge of the Tuskegee Study resulted in less trust in medical researchers. These data reiterate the need for medical researchers to build trusting relationships with minority communities. Researchers can begin by acknowledging the previous medical abuse of minority research participants, discussing their specific plans to assure the protection of study participants, and explaining the need for the participation of racial/ethnic minorities including studies that specifically target or that are likely to result in disproportionate representation of racial/ethnic minorities among study participants.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 2%
United Kingdom 2 1%
India 1 <1%
Unknown 180 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 32 17%
Student > Master 24 13%
Researcher 23 12%
Student > Bachelor 14 8%
Student > Doctoral Student 11 6%
Other 35 19%
Unknown 47 25%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 41 22%
Social Sciences 32 17%
Psychology 15 8%
Agricultural and Biological Sciences 9 5%
Biochemistry, Genetics and Molecular Biology 7 4%
Other 25 13%
Unknown 57 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 26 September 2021.
All research outputs
#2,662,079
of 33,779,198 outputs
Outputs from Annals of Epidemiology
#341
of 2,462 outputs
Outputs of similar age
#4,882
of 171,341 outputs
Outputs of similar age from Annals of Epidemiology
#4
of 9 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,462 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has done well, scoring higher than 87% 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 171,341 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 97% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.