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Biomarkers of oxidative stress in pregnancy complications

Overview of attention for article published in Biomarkers in Medicine, February 2017
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Article details
Title
Biomarkers of oxidative stress in pregnancy complications
Published in
Biomarkers in Medicine, February 2017
DOI 10.2217/bmm-2016-0250
Pubmed ID
Authors
Abstract

Pregnancy complications including pre-eclampsia, gestational-diabetes mellitus, preterm birth and intrauterine growth restriction can cause acute and chronic health problems for the mother and lead to fetal loss or dysregulation of infant physiology. The human placenta is susceptible to oxidative stress and oxidative damage in early gestation contributes to the onset of these conditions later in pregnancy. Current methods of predicting pregnancy complications are limited and although a large number of factors are associated with disease progression, few biomarkers have been used to aid in disease diagnosis early in gestation. This review discusses the detection of oxidative stress markers in biological fluids and highlights the need for further studies to validate their use in the prediction or diagnosis of pregnancy disorders.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 141 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%
Unknown 140 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 20 14%
Researcher 15 11%
Student > Master 13 9%
Student > Ph. D. Student 11 8%
Student > Doctoral Student 8 6%
Other 28 20%
Unknown 46 33%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 38 27%
Biochemistry, Genetics and Molecular Biology 14 10%
Nursing and Health Professions 9 6%
Agricultural and Biological Sciences 4 3%
Social Sciences 4 3%
Other 17 12%
Unknown 55 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 February 2017.
All research outputs
#31,191,732
of 34,372,222 outputs
Outputs from Biomarkers in Medicine
#634
of 768 outputs
Outputs of similar age
#417,094
of 470,572 outputs
Outputs of similar age from Biomarkers in Medicine
#11
of 12 outputs
Altmetric has tracked 34,372,222 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 768 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 470,572 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.