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A Genetically Informed Study of the Associations Between Maternal Age at Childbearing and Adverse Perinatal Outcomes

Overview of attention for article published in Behavior Genetics, September 2015
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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36 Mendeley
Title
A Genetically Informed Study of the Associations Between Maternal Age at Childbearing and Adverse Perinatal Outcomes
Published in
Behavior Genetics, September 2015
DOI 10.1007/s10519-015-9748-0
Pubmed ID
Authors

Ayesha C. Sujan, Martin E. Rickert, Quetzal A. Class, Claire A. Coyne, Paul Lichtenstein, Catarina Almqvist, Henrik Larsson, Arvid Sjölander, Benjamin B. Lahey, Carol van Hulle, Irwin Waldman, A. Sara Öberg, Brian M. D’Onofrio

Abstract

We examined associations of maternal age at childbearing (MAC) with gestational age and fetal growth (i.e., birth weight adjusting for gestational age), using two genetically informed designs (cousin and sibling comparisons) and data from two cohorts, a population-based Swedish sample and a nationally representative United States sample. We also conducted sensitivity analyses to test limitations of the designs. The findings were consistent across samples and suggested that, associations observed in the population between younger MAC and shorter gestational age were confounded by shared familial factors; however, associations of advanced MAC with shorter gestational age remained robust after accounting for shared familial factors. In contrast to the gestational age findings, neither early nor advanced MAC was associated with lower fetal growth after accounting for shared familial factors. Given certain assumptions, these findings provide support for a causal association between advanced MAC and shorter gestational age. The results also suggest that there are not causal associations between early MAC and shorter gestational age, between early MAC and lower fetal growth, and between advanced MAC and lower fetal growth.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Student > Doctoral Student 4 11%
Student > Bachelor 4 11%
Researcher 4 11%
Student > Ph. D. Student 4 11%
Other 4 11%
Unknown 10 28%
Readers by discipline Count As %
Psychology 8 22%
Medicine and Dentistry 6 17%
Nursing and Health Professions 3 8%
Social Sciences 3 8%
Agricultural and Biological Sciences 2 6%
Other 2 6%
Unknown 12 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 21 June 2016.
All research outputs
#3,987,542
of 22,829,083 outputs
Outputs from Behavior Genetics
#205
of 911 outputs
Outputs of similar age
#53,097
of 274,665 outputs
Outputs of similar age from Behavior Genetics
#5
of 22 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 911 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done well, scoring higher than 77% 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 274,665 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 80% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.