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The gene, environment association studies consortium (GENEVA): maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditions

Overview of attention for article published in Genetic Epidemiology, January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source

Citations

dimensions_citation
139 Dimensions

Readers on

mendeley
90 Mendeley
citeulike
1 CiteULike
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Title
The gene, environment association studies consortium (GENEVA): maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditions
Published in
Genetic Epidemiology, January 2010
DOI 10.1002/gepi.20492
Pubmed ID
Authors

Marilyn C. Cornelis, Arpana Agrawal, John W. Cole, Nadia N. Hansel, Kathleen C. Barnes, Terri H. Beaty, Siiri N. Bennett, Laura J. Bierut, Eric Boerwinkle, Kimberly F. Doheny, Bjarke Feenstra, Eleanor Feingold, Myriam Fornage, Christopher A. Haiman, Emily L. Harris, M. Geoffrey Hayes, John A. Heit, Frank B. Hu, Jae H. Kang, Cathy C. Laurie, Hua Ling, Teri A. Manolio, Mary L. Marazita, Rasika A. Mathias, Daniel B. Mirel, Justin Paschall, Louis R. Pasquale, Elizabeth W. Pugh, John P. Rice, Jenna Udren, Rob M. van Dam, Xiaojing Wang, Janey L. Wiggs, Kayleen Williams, Kai Yu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Canada 2 2%
Venezuela, Bolivarian Republic of 1 1%
Spain 1 1%
Unknown 83 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 20%
Student > Ph. D. Student 14 16%
Professor > Associate Professor 12 13%
Student > Master 9 10%
Other 7 8%
Other 18 20%
Unknown 12 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 36%
Medicine and Dentistry 17 19%
Biochemistry, Genetics and Molecular Biology 7 8%
Computer Science 4 4%
Social Sciences 3 3%
Other 13 14%
Unknown 14 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 04 January 2016.
All research outputs
#4,373,315
of 24,851,605 outputs
Outputs from Genetic Epidemiology
#100
of 829 outputs
Outputs of similar age
#23,962
of 173,601 outputs
Outputs of similar age from Genetic Epidemiology
#1
of 2 outputs
Altmetric has tracked 24,851,605 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 829 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 87% 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 173,601 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them