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Pediatric asthma and autism—genomic perspectives

Overview of attention for article published in Clinical and Translational Medicine, December 2015
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Title
Pediatric asthma and autism—genomic perspectives
Published in
Clinical and Translational Medicine, December 2015
DOI 10.1186/s40169-015-0078-x
Pubmed ID
Authors

Sunghee Oh, Hong Ji, Drew Barzman, Ping-I Lin, John Hutton

Abstract

High-throughput technologies, ranging from microarrays to NexGen sequencing of RNA and genomic DNA, have opened new avenues for exploration of the pathobiology of human disease. Comparisons of the architecture of the genome, identification of mutated or modified sequences, and pre-and post- transcriptional regulation of gene expression as disease specific biomarkers are revolutionizing our understanding of the causes of disease and are guiding the development of new therapies. There is enormous heterogeneity in types of genomic variation that occur in human disease. Some are inherited, while others are the result of new somatic or germline mutations or errors in chromosomal replication. In this review, we provide examples of changes that occur in the human genome in two of the most common chronic pediatric disorders, autism and asthma. The incidence and economic burden of both of these disorders are increasing worldwide. Genomic variations have the potential to serve as biomarkers for personalization of therapy and prediction of outcomes.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 6%
Student > Master 1 6%
Other 1 6%
Other 0 0%
Unknown 7 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 13%
Medicine and Dentistry 2 13%
Arts and Humanities 1 6%
Computer Science 1 6%
Nursing and Health Professions 1 6%
Other 2 13%
Unknown 7 44%
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 17 December 2015.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Clinical and Translational Medicine
#571
of 1,060 outputs
Outputs of similar age
#240,206
of 396,091 outputs
Outputs of similar age from Clinical and Translational Medicine
#6
of 8 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 33rd percentile – i.e., 33% 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 396,091 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.