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The Congenital Heart Disease Genetic Network Study

Overview of attention for article published in Circulation Research, February 2013
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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171 Mendeley
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Article details
Title
The Congenital Heart Disease Genetic Network Study
Published in
Circulation Research, February 2013
DOI 10.1161/circresaha.111.300297
Pubmed ID
Authors

Bruce Gelb, Martina Brueckner, Wendy Chung, Elizabeth Goldmuntz, Jonathan Kaltman, Juan Pablo Kaski, Richard Kim, Jennie Kline, Laura Mercer-Rosa, George Porter, Amy Roberts, Ellen Rosenberg, Howard Seiden, Christine Seidman, Lynn Sleeper, Sharon Tennstedt, Jonathan Kaltman, Charlene Schramm, Kristin Burns, Gail Pearson, Ellen Rosenberg, Jane Newburger, Roger Breitbart, Steven Colan, Judith Geva, Angela Monafo, Amy Roberts, Janice Stryker, Christine Seidman, Barbara McDonough, Jonathan Seidman, Elizabeth Goldmuntz, Sharon Edman, Jennifer Garbarini, Hakon Hakonarson, Laura Mercer-Rosa, Laura Mitchell, Jessica Tusi, Peter White, Stacy Woyciechowski, Wendy Chung, Dorothy Warburton, Danielle Awad, Katrina Celia, Davina Etwaru, Jaswinder Kaur Sond, Jennie Kline, Rosalind Korsin, Alyssa Lanz, Emma Marquez, Ismee Williams, Abigail Wilpers, Roslyn Yee, Bruce Gelb, Denise Guevara, Ariel Julian, Meghan Mac Neal, Cassie Mintz, Inga Peter, Ravi Sachidanandam, Howard Seiden, Angela Romano-Adesman, Dorota Gruber, Nancy Stellato, Martina Brueckner, Richard Lifton, Nancy Cross, John Deanfield, Alessandro Giardini, Karen Flack, George Porter, Eileen Taillie, Richard Kim, Nhu Tran, Sharon Tennstedt, Roger Breitbart, Kimberly Dandreo, Dianne Gallagher, Minmin Lu, Lynn Sleeper, Dorit Berlin, Christine Beiswanger, Richard Lifton, Jonathan Seidman, Hakon Hakonarson, Peter White, Mike Italia, Wendy Chung, Christine Seidman, Maria Brooks (Chair), Michelle Olive, Jeffrey Botkin, Josee Dupuis, Vidu Garg, Mike Watson, James Bristow, Todd Evans, Christina Kendziorski, Elaine Mardis, Jeffrey Murray, Joel Saltz, Hector Wong

Abstract

Congenital heart defects (CHD) are the leading cause of infant mortality among birth defects, and later morbidities and premature mortality remain problematic. Although genetic factors contribute significantly to cause CHD, specific genetic lesions are unknown for most patients. The National Heart, Lung, and Blood Institute-funded Pediatric Cardiac Genomics Consortium established the Congenital Heart Disease Genetic Network Study to investigate relationships between genetic factors, clinical features, and outcomes in CHD. The Pediatric Cardiac Genomics Consortium comprises 6 main and 4 satellite sites at which subjects are recruited, and medical data and biospecimens (blood, saliva, cardiovascular tissue) are collected. Core infrastructure includes an administrative/data-coordinating center, biorepository, data hub, and core laboratories (genotyping, whole-exome sequencing, candidate gene evaluation, and variant confirmation). Eligibility includes all forms of CHD. Annual follow-up is obtained for probands <1-year-old. Parents are enrolled whenever available. Enrollment from December 2010 to June 2012 comprised 3772 probands. One or both parents were enrolled for 72% of probands. Proband median age is 5.5 years. The one third enrolled at age <1 year are contacted annually for follow-up information. The distribution of CHD favors more complex lesions. Approximately, 11% of probands have a genetic diagnosis. Adequate DNA is available from 97% and 91% of blood and saliva samples, respectively. Genomic analyses of probands with heterotaxy, atrial septal defects, conotruncal, and left ventricular outflow tract obstructive lesions are underway. The scientific community's use of Pediatric Cardiac Genomics Consortium resources is welcome.

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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 171 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%
Peru 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Hong Kong 1 <1%
United Kingdom 1 <1%
Unknown 165 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 38 22%
Student > Ph. D. Student 26 15%
Student > Bachelor 15 9%
Professor 12 7%
Other 10 6%
Other 36 21%
Unknown 34 20%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 58 34%
Agricultural and Biological Sciences 25 15%
Biochemistry, Genetics and Molecular Biology 23 13%
Nursing and Health Professions 7 4%
Engineering 4 2%
Other 16 9%
Unknown 38 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 December 2019.
All research outputs
#10,896,100
of 33,779,198 outputs
Outputs from Circulation Research
#4,515
of 9,171 outputs
Outputs of similar age
#108,839
of 364,361 outputs
Outputs of similar age from Circulation Research
#33
of 95 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 9,171 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 50% 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 364,361 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 95 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 64% of its contemporaries.