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Cytomegalovirus in pregnancy and the neonate

Overview of attention for article published in F1000 Research, February 2017
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2 X users
reddit
1 Redditor

Readers on

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119 Mendeley
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Article details
Title
Cytomegalovirus in pregnancy and the neonate
Published in
F1000 Research, February 2017
DOI 10.12688/f1000research.10276.1
Pubmed ID
Authors
Abstract

Congenital cytomegalovirus (CMV) remains a leading cause of disability in children. Understanding the pathogenesis of infection from the mother via the placenta to the neonate is crucial if we are to produce new interventions and provide supportive mechanisms to improve the outcome of congenitally infected children. In recent years, some major goals have been achieved, including the diagnosis of primary maternal CMV infection in pregnant women by using the anti-CMV IgG avidity test and the diagnosis and prognosis of foetal CMV infection by using polymerase chain reaction real-time tests to detect and quantify the virus in amniotic fluid. This review summarises recent advances in our understanding and highlights where challenges remain, especially in vaccine development and anti-viral therapy of the pregnant woman and the neonate. Currently, no therapeutic options during pregnancy are available except those undergoing clinical trials, whereas valganciclovir treatment is recommended for congenitally infected neonates with moderately to severely symptomatic disease.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 119 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 %
Unknown 119 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 14 12%
Other 13 11%
Student > Bachelor 12 10%
Student > Ph. D. Student 10 8%
Professor 7 6%
Other 20 17%
Unknown 43 36%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 37 31%
Immunology and Microbiology 13 11%
Agricultural and Biological Sciences 7 6%
Biochemistry, Genetics and Molecular Biology 5 4%
Nursing and Health Professions 3 3%
Other 6 5%
Unknown 48 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 October 2024.
All research outputs
#22,241,767
of 34,372,222 outputs
Outputs from F1000 Research
#3,614
of 7,214 outputs
Outputs of similar age
#290,230
of 479,290 outputs
Outputs of similar age from F1000 Research
#109
of 171 outputs
Altmetric has tracked 34,372,222 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,214 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 49th percentile – i.e., 49% 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 479,290 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.