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A review of fundamental principles for animal models of DOHaD research: an Australian perspective

Overview of attention for article published in Journal of Developmental Origins of Health and Disease, September 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Article details
Title
A review of fundamental principles for animal models of DOHaD research: an Australian perspective
Published in
Journal of Developmental Origins of Health and Disease, September 2016
DOI 10.1017/s2040174416000477
Pubmed ID
Authors
Abstract

Epidemiology formed the basis of 'the Barker hypothesis', the concept of 'developmental programming' and today's discipline of the Developmental Origins of Health and Disease (DOHaD). Animal experimentation provided proof of the underlying concepts, and continues to generate knowledge of underlying mechanisms. Interventions in humans, based on DOHaD principles, will be informed by experiments in animals. As knowledge in this discipline has accumulated, from studies of humans and other animals, the complexity of interactions between genome, environment and epigenetics, has been revealed. The vast nature of programming stimuli and breadth of effects is becoming known. As a result of our accumulating knowledge we now appreciate the impact of many variables that contribute to programmed outcomes. To guide further animal research in this field, the Australia and New Zealand DOHaD society (ANZ DOHaD) Animals Models of DOHaD Research Working Group convened at the 2nd Annual ANZ DOHaD Congress in Melbourne, Australia in April 2015. This review summarizes the contributions of animal research to the understanding of DOHaD, and makes recommendations for the design and conduct of animal experiments to maximize relevance, reproducibility and translation of knowledge into improving health and well-being.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 97 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 Kingdom 1 1%
Unknown 96 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 16%
Student > Master 16 16%
Student > Bachelor 8 8%
Researcher 8 8%
Professor > Associate Professor 8 8%
Other 22 23%
Unknown 19 20%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 20%
Medicine and Dentistry 19 20%
Agricultural and Biological Sciences 11 11%
Neuroscience 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 13 13%
Unknown 28 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 14 August 2018.
All research outputs
#3,571,877
of 26,802,760 outputs
Outputs from Journal of Developmental Origins of Health and Disease
#69
of 642 outputs
Outputs of similar age
#53,095
of 313,579 outputs
Outputs of similar age from Journal of Developmental Origins of Health and Disease
#2
of 11 outputs
Altmetric has tracked 26,802,760 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 642 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 88% 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 313,579 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.