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Developmental Origins of Health and Disease: Integrating Environmental Influences

Overview of attention for article published in Endocrinology, July 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 1,779)
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

policy
2 policy sources
twitter
12 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
307 Dimensions

Readers on

mendeley
380 Mendeley
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Title
Developmental Origins of Health and Disease: Integrating Environmental Influences
Published in
Endocrinology, July 2015
DOI 10.1210/en.2015-1394
Pubmed ID
Authors

Jerrold J Heindel, John Balbus, Linda Birnbaum, Marie Noel Brune-Drisse, Philippe Grandjean, Kimberly Gray, Philip J Landrigan, Peter D Sly, William Suk, Deborah Cory Slechta, Claudia Thompson, Mark Hanson

Abstract

There are now robust data supporting the Developmental Origins of Health and Disease (DOHaD) paradigm. This includes human and animal data focusing on nutrition or environmental chemicals during development. However, the term DOHaD has not been generally accepted as the official term to be used when one is concerned with understanding the pathophysiological basis for how environmental influences acting during early development influence the risk of later noncommunicable diseases. Similarly, there is no global research or public health program built around the DOHaD paradigm that encompasses all aspects of environment. To better inform the global health efforts aimed at addressing the growing epidemic of chronic noncommunicable diseases of environmental origin, we propose a two-pronged approach: first, to make it clear that the current concept of DOHaD comprehensively includes a range of environmental factors and their relevance to disease occurrence not just throughout the life span but potentially across several generations; and second, to initiate the discussion of how adoption of DOHaD can promote a more realistic, accurate, and integrative approach to understanding environmental disruption of developmental programming and better inform clinical and policy interventions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 <1%
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 375 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 18%
Researcher 51 13%
Student > Master 44 12%
Student > Bachelor 37 10%
Other 23 6%
Other 79 21%
Unknown 79 21%
Readers by discipline Count As %
Medicine and Dentistry 66 17%
Agricultural and Biological Sciences 47 12%
Environmental Science 29 8%
Biochemistry, Genetics and Molecular Biology 26 7%
Social Sciences 17 4%
Other 86 23%
Unknown 109 29%
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 23 October 2023.
All research outputs
#2,175,056
of 25,839,971 outputs
Outputs from Endocrinology
#10
of 1,779 outputs
Outputs of similar age
#26,675
of 276,550 outputs
Outputs of similar age from Endocrinology
#1
of 1 outputs
Altmetric has tracked 25,839,971 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 1,779 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 99% 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 276,550 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 90% of its contemporaries.
We're also able to compare this research output to 1 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