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Dove Medical Press

Fetal alcohol-spectrum disorders: identifying at-risk mothers

Overview of attention for article published in International Journal of Women's Health, July 2016
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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 (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
11 X users
facebook
5 Facebook pages

Citations

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32 Dimensions

Readers on

mendeley
104 Mendeley
Title
Fetal alcohol-spectrum disorders: identifying at-risk mothers
Published in
International Journal of Women's Health, July 2016
DOI 10.2147/ijwh.s85403
Pubmed ID
Authors

Annika C Montag

Abstract

Fetal alcohol-spectrum disorders (FASDs) are a collection of physical and neurobehavioral disabilities caused by prenatal exposure to alcohol. To prevent or mitigate the costly effects of FASD, we must identify mothers at risk for having a child with FASD, so that we may reach them with interventions. Identifying mothers at risk is beneficial at all time points, whether prior to pregnancy, during pregnancy, or following the birth of the child. In this review, three approaches to identifying mothers at risk are explored: using characteristics of the mother and her pregnancy, using laboratory biomarkers, and using self-report assessment of alcohol-consumption risk. At present, all approaches have serious limitations. Research is needed to improve the sensitivity and specificity of biomarkers and screening instruments, and to link them to outcomes as opposed to exposure. Universal self-report screening of all women of childbearing potential should ideally be incorporated into routine obstetric and gynecologic care, followed by brief interventions, including education and personalized feedback for all who consume alcohol, and referral to treatment as indicated. Effective biomarkers or combinations of biomarkers may be used during pregnancy and at birth to determine maternal and fetal alcohol exposure. The combination of self-report and biomarker screening may help identify a greater proportion of women at risk for having a child with FASD, allowing them to access information and treatment, and empowering them to make decisions that benefit their children.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 103 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 16%
Student > Bachelor 17 16%
Researcher 14 13%
Student > Ph. D. Student 13 13%
Other 6 6%
Other 14 13%
Unknown 23 22%
Readers by discipline Count As %
Medicine and Dentistry 28 27%
Psychology 19 18%
Nursing and Health Professions 15 14%
Social Sciences 6 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 6 6%
Unknown 26 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 26 September 2016.
All research outputs
#3,195,855
of 23,577,654 outputs
Outputs from International Journal of Women's Health
#168
of 810 outputs
Outputs of similar age
#57,793
of 354,037 outputs
Outputs of similar age from International Journal of Women's Health
#6
of 15 outputs
Altmetric has tracked 23,577,654 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 810 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done well, scoring higher than 79% 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 354,037 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 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.