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Analysis of selected maternal exposures and non‐syndromic atrioventricular septal defects in the National Birth Defects Prevention Study, 1997–2005.

Overview of attention for article published in American Journal of Medical Genetics. Part A, August 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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2 news outlets
policy
1 policy source

Readers on

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78 Mendeley
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Article details
Title
Analysis of selected maternal exposures and non‐syndromic atrioventricular septal defects in the National Birth Defects Prevention Study, 1997–2005.
Published in
American Journal of Medical Genetics. Part A, August 2012
DOI 10.1002/ajmg.a.35555
Pubmed ID
Authors
Abstract

Although the descriptive epidemiology of atrioventricular septal defects (AVSDs), a group of serious congenital heart defects (CHDs), has been recently reported, non-genetic risk factors have not been consistently identified. Using data (1997-2005) from the National Birth Defects Prevention Study, an ongoing multisite population-based case-control study, the association between selected non-genetic factors and non-syndromic AVSDs was examined. Data on periconceptional exposures to such factors were collected by telephone interview from 187 mothers of AVSD case infants and 6,703 mothers of unaffected infants. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated from logistic regression models. Mothers who reported cigarette smoking during the periconceptional period were more likely to have infants with AVSDs compared with non-smokers, independent of maternal age, periconceptional alcohol consumption, infant gestational age, family history of CHDs, and study site (aOR 1.5, 95% CI 1.1-2.4). The association was strongest in mothers who smoked more than 25 cigarettes/day. In addition, mothers with periconceptional passive smoke exposure were more likely to have infants with AVSDs than unexposed mothers, independent of maternal age, active periconceptional smoking, infant gestational age, and family history of CHDs (aOR 1.4, 95% CI 1.0-2.0). No associations were observed between AVSDs and maternal history of a urinary tract infection or pelvic inflammatory disease, maternal use of a wide variety of medications, maternal occupational exposure, parental drug use, or maternal alcohol consumption. If the results of this preliminary study can be replicated, minimizing maternal active and passive smoke exposure may decrease the incidence of AVSDs.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 78 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 States 1 1%
Norway 1 1%
Spain 1 1%
Colombia 1 1%
Unknown 74 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 19%
Researcher 12 15%
Student > Bachelor 8 10%
Student > Master 8 10%
Other 5 6%
Other 10 13%
Unknown 20 26%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 34 44%
Nursing and Health Professions 5 6%
Social Sciences 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Psychology 3 4%
Other 7 9%
Unknown 22 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 05 February 2018.
All research outputs
#2,548,968
of 34,360,889 outputs
Outputs from American Journal of Medical Genetics. Part A
#112
of 4,740 outputs
Outputs of similar age
#14,534
of 224,164 outputs
Outputs of similar age from American Journal of Medical Genetics. Part A
#2
of 73 outputs
Altmetric has tracked 34,360,889 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,740 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 97% 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 224,164 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 93% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.