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An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene‐Lifestyle Interactions Working Group

Overview of attention for article published in Genetic Epidemiology, May 2016
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2 X users

Citations

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Title
An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene‐Lifestyle Interactions Working Group
Published in
Genetic Epidemiology, May 2016
DOI 10.1002/gepi.21978
Pubmed ID
Authors

Yun Ju Sung, Thomas W Winkler, Alisa K Manning, Hugues Aschard, Vilmundur Gudnason, Tamara B Harris, Albert V Smith, Eric Boerwinkle, Michael R Brown, Alanna C Morrison, Myriam Fornage, Li-An Lin, Melissa Richard, Traci M Bartz, Bruce M Psaty, Caroline Hayward, Ozren Polasek, Jonathan Marten, Igor Rudan, Mary F Feitosa, Aldi T Kraja, Michael A Province, Xuan Deng, Virginia A Fisher, Yanhua Zhou, Lawrence F Bielak, Jennifer Smith, Jennifer E Huffman, Sandosh Padmanabhan, Blair H Smith, Jingzhong Ding, Yongmei Liu, Kurt Lohman, Claude Bouchard, Tuomo Rankinen, Treva K Rice, Donna Arnett, Karen Schwander, Xiuqing Guo, Walter Palmas, Jerome I Rotter, Tamuno Alfred, Erwin P Bottinger, Ruth J F Loos, Najaf Amin, Oscar H Franco, Cornelia M van Duijn, Dina Vojinovic, Daniel I Chasman, Paul M Ridker, Lynda M Rose, Sharon Kardia, Xiaofeng Zhu, Kenneth Rice, Ingrid B Borecki, Dabeeru C Rao, W James Gauderman, L Adrienne Cupples

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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 31%
Student > Ph. D. Student 6 12%
Professor > Associate Professor 5 10%
Student > Doctoral Student 4 8%
Student > Master 4 8%
Other 10 20%
Unknown 5 10%
Readers by discipline Count As %
Medicine and Dentistry 13 27%
Biochemistry, Genetics and Molecular Biology 6 12%
Agricultural and Biological Sciences 6 12%
Nursing and Health Professions 3 6%
Computer Science 3 6%
Other 10 20%
Unknown 8 16%
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 20 April 2017.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from Genetic Epidemiology
#601
of 878 outputs
Outputs of similar age
#231,937
of 357,945 outputs
Outputs of similar age from Genetic Epidemiology
#17
of 17 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 878 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 22nd percentile – i.e., 22% 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 357,945 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.