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Beliefs and attitudes towards participating in genetic research – a population based cross-sectional study

Overview of attention for article published in BMC Public Health, February 2013
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69 Dimensions

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83 Mendeley
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Title
Beliefs and attitudes towards participating in genetic research – a population based cross-sectional study
Published in
BMC Public Health, February 2013
DOI 10.1186/1471-2458-13-114
Pubmed ID
Authors

Samantha M Kerath, Gila Klein, Marlena Kern, Iuliana Shapira, Jennifer Witthuhn, Nicole Norohna, Myriam Kline, Farisha Baksh, Peter Gregersen, Emanuela Taioli

Abstract

Biobanks have the potential to offer a venue for chronic disease biomarker discovery, which would allow for disease early detection and for identification of carriers of a certain predictor biomarker. To assess the general attitudes towards genetic research and participation in biobanks in the Long Island/Queens area of New York, and what factors would predict a positive view of such research, participants from the NSLIJ hospital system were surveyed.

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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Belgium 1 1%
Unknown 81 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 24%
Student > Ph. D. Student 15 18%
Student > Master 11 13%
Student > Doctoral Student 5 6%
Professor 5 6%
Other 17 20%
Unknown 10 12%
Readers by discipline Count As %
Social Sciences 18 22%
Medicine and Dentistry 15 18%
Biochemistry, Genetics and Molecular Biology 13 16%
Nursing and Health Professions 6 7%
Psychology 6 7%
Other 11 13%
Unknown 14 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 December 2022.
All research outputs
#13,737,949
of 23,881,329 outputs
Outputs from BMC Public Health
#9,507
of 15,466 outputs
Outputs of similar age
#161,081
of 288,514 outputs
Outputs of similar age from BMC Public Health
#168
of 277 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 37th percentile – i.e., 37% 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 288,514 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 277 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.