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Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts, genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis

Overview of attention for article published in Frontiers in Genetics, November 2014
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Citations

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Title
Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts, genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis
Published in
Frontiers in Genetics, November 2014
DOI 10.3389/fgene.2014.00401
Pubmed ID
Authors

Bahram Namjou, Keith Marsolo, Robert J. Caroll, Joshua C. Denny, Marylyn D. Ritchie, Shefali S. Verma, Todd Lingren, Aleksey Porollo, Beth L. Cobb, Cassandra Perry, Leah C. Kottyan, Marc E. Rothenberg, Susan D. Thompson, Ingrid A. Holm, Isaac S. Kohane, John B. Harley

Abstract

We report the first pediatric specific Phenome-Wide Association Study (PheWAS) using electronic medical records (EMRs). Given the early success of PheWAS in adult populations, we investigated the feasibility of this approach in pediatric cohorts in which associations between a previously known genetic variant and a wide range of clinical or physiological traits were evaluated. Although computationally intensive, this approach has potential to reveal disease mechanistic relationships between a variant and a network of phenotypes.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
India 1 <1%
Canada 1 <1%
Taiwan 1 <1%
Unknown 111 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 20%
Student > Ph. D. Student 20 17%
Student > Master 12 10%
Student > Bachelor 8 7%
Student > Doctoral Student 8 7%
Other 20 17%
Unknown 24 21%
Readers by discipline Count As %
Medicine and Dentistry 29 25%
Biochemistry, Genetics and Molecular Biology 13 11%
Agricultural and Biological Sciences 12 10%
Neuroscience 11 10%
Psychology 5 4%
Other 13 11%
Unknown 32 28%
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 28 April 2015.
All research outputs
#14,552,599
of 23,305,591 outputs
Outputs from Frontiers in Genetics
#4,051
of 12,321 outputs
Outputs of similar age
#195,222
of 365,501 outputs
Outputs of similar age from Frontiers in Genetics
#65
of 102 outputs
Altmetric has tracked 23,305,591 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 12,321 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 63% 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 365,501 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.