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Naturalistic Experimental Designs as Tools for Understanding the Role of Genes and the Environment in Prevention Research

Overview of attention for article published in Prevention Science, January 2017
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Title
Naturalistic Experimental Designs as Tools for Understanding the Role of Genes and the Environment in Prevention Research
Published in
Prevention Science, January 2017
DOI 10.1007/s11121-017-0746-8
Pubmed ID
Authors

Leslie D. Leve, Jenae M. Neiderhiser, Gordon T. Harold, Misaki N. Natsuaki, Brendan J. M. Bohannan, William A. Cresko

Abstract

Before genetic approaches were applied in experimental studies with human populations, they were used by animal and plant breeders to observe, and experimentally manipulate, the role of genes and environment on specific phenotypic or behavioral outcomes. For obvious ethical reasons, the same level of experimental control is not possible in human populations. Nonetheless, there are natural experimental designs in human populations that can serve as logical extensions of the rigorous quantitative genetic experimental designs used by animal and plant researchers. Applying concepts such as cross-fostering and common garden rearing approaches from the life science discipline, we describe human designs that can serve as naturalistic proxies for the controlled quantitative genetic experiments facilitated in life sciences research. We present the prevention relevance of three such human designs: (1) children adopted at birth by parents to whom they are not genetically related (common garden approach); (2) sibling designs where one sibling is reared from birth with unrelated adoptive parents and the other sibling is reared from birth by the biological mother of the sibling pair (cross-fostering approach); and (3) in vitro fertilization designs, including egg donation, sperm donation, embryo donation, and surrogacy (prenatal cross-fostering approach). Each of these designs allows for differentiation of the effects of the prenatal and/or postnatal rearing environment from effects of genes shared between parent and child in naturalistic ways that can inform prevention efforts. Example findings from each design type are provided and conclusions drawn about the relevance of naturalistic genetic designs to prevention science.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Student > Master 6 16%
Student > Bachelor 3 8%
Student > Doctoral Student 2 5%
Student > Postgraduate 2 5%
Other 6 16%
Unknown 11 29%
Readers by discipline Count As %
Psychology 11 29%
Agricultural and Biological Sciences 3 8%
Nursing and Health Professions 2 5%
Economics, Econometrics and Finance 2 5%
Arts and Humanities 2 5%
Other 4 11%
Unknown 14 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 April 2019.
All research outputs
#14,318,931
of 22,947,506 outputs
Outputs from Prevention Science
#695
of 1,033 outputs
Outputs of similar age
#228,908
of 418,908 outputs
Outputs of similar age from Prevention Science
#11
of 16 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 28th percentile – i.e., 28% 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 418,908 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.