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The Role of Abnormal Placentation in Congenital Heart Disease; Cause, Correlate, or Consequence?

Overview of attention for article published in Frontiers in Physiology, August 2018
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Title
The Role of Abnormal Placentation in Congenital Heart Disease; Cause, Correlate, or Consequence?
Published in
Frontiers in Physiology, August 2018
DOI 10.3389/fphys.2018.01045
Pubmed ID
Authors

Jennifer A. Courtney, James F. Cnota, Helen N. Jones

Abstract

Congenital heart disease (CHD) is the most common birth defect, affecting ~1% of all live births (van der Linde et al., 2011). Despite improvements in clinical care, it is the leading cause of infant mortality related to birth defects (Yang et al., 2006) and burdens survivors with significant morbidity (Gilboa et al., 2016). Furthermore, CHD accounts for the largest proportion (26.7%) of birth defect-associated hospitalization costs-up to $6.1 billion in 2013 (Arth et al., 2017). Yet after decades of research with a primary focus on genetic etiology, the underlying cause of these defects remains unknown in the majority of cases (Zaidi and Brueckner, 2017). Unexplained CHD may be secondary to undiscovered roles of noncoding genetic, epigenetic, and environmental factors, among others (Russell et al., 2018). Population studies have recently demonstrated that pregnancies complicated by CHD also carry a higher risk of developing pathologies associated with an abnormal placenta including growth disturbances (Puri et al., 2017), preeclampsia (Auger et al., 2015; Brodwall et al., 2016), preterm birth (Laas et al., 2012), and stillbirth (Jorgensen et al., 2014). Both the heart and placenta are vascular organs and develop concurrently; therefore, shared pathways almost certainly direct the development of both. The involvement of placental abnormalities in congenital heart disease, whether causal, commensurate or reactive, is under investigated and given the common developmental window and shared developmental pathways of the heart and placenta and concurrent vasculature development, we propose that further investigation combining clinical data, in vitro, in vivo, and computer modeling is fundamental to our understanding and the potential to develop therapeutics.

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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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 18%
Student > Bachelor 17 18%
Student > Ph. D. Student 10 10%
Student > Doctoral Student 8 8%
Student > Postgraduate 4 4%
Other 11 11%
Unknown 29 30%
Readers by discipline Count As %
Medicine and Dentistry 28 29%
Biochemistry, Genetics and Molecular Biology 12 13%
Nursing and Health Professions 6 6%
Agricultural and Biological Sciences 3 3%
Unspecified 2 2%
Other 10 10%
Unknown 35 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 August 2018.
All research outputs
#13,624,398
of 23,099,576 outputs
Outputs from Frontiers in Physiology
#4,750
of 13,846 outputs
Outputs of similar age
#169,601
of 330,798 outputs
Outputs of similar age from Frontiers in Physiology
#233
of 486 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,846 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 64% 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 330,798 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 486 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 51% of its contemporaries.