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Genetic analyses of diverse populations improves discovery for complex traits

Overview of attention for article published in Nature, June 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
12 news outlets
blogs
2 blogs
twitter
757 tweeters
facebook
7 Facebook pages
reddit
2 Redditors

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
207 Mendeley
Title
Genetic analyses of diverse populations improves discovery for complex traits
Published in
Nature, June 2019
DOI 10.1038/s41586-019-1310-4
Pubmed ID
Authors

Genevieve L. Wojcik, Mariaelisa Graff, Katherine K. Nishimura, Ran Tao, Jeffrey Haessler, Christopher R. Gignoux, Heather M. Highland, Yesha M. Patel, Elena P. Sorokin, Christy L. Avery, Gillian M. Belbin, Stephanie A. Bien, Iona Cheng, Sinead Cullina, Chani J. Hodonsky, Yao Hu, Laura M. Huckins, Janina Jeff, Anne E. Justice, Jonathan M. Kocarnik, Unhee Lim, Bridget M. Lin, Yingchang Lu, Sarah C. Nelson, Sung-Shim L. Park, Hannah Poisner, Michael H. Preuss, Melissa A. Richard, Claudia Schurmann, Veronica W. Setiawan, Alexandra Sockell, Karan Vahi, Marie Verbanck, Abhishek Vishnu, Ryan W. Walker, Kristin L. Young, Niha Zubair, Victor Acuña-Alonso, Jose Luis Ambite, Kathleen C. Barnes, Eric Boerwinkle, Erwin P. Bottinger, Carlos D. Bustamante, Christian Caberto, Samuel Canizales-Quinteros, Matthew P. Conomos, Ewa Deelman, Ron Do, Kimberly Doheny, Lindsay Fernández-Rhodes, Myriam Fornage, Benyam Hailu, Gerardo Heiss, Brenna M. Henn, Lucia A. Hindorff, Rebecca D. Jackson, Cecelia A. Laurie, Cathy C. Laurie, Yuqing Li, Dan-Yu Lin, Andres Moreno-Estrada, Girish Nadkarni, Paul J. Norman, Loreall C. Pooler, Alexander P. Reiner, Jane Romm, Chiara Sabatti, Karla Sandoval, Xin Sheng, Eli A. Stahl, Daniel O. Stram, Timothy A. Thornton, Christina L. Wassel, Lynne R. Wilkens, Cheryl A. Winkler, Sachi Yoneyama, Steven Buyske, Christopher A. Haiman, Charles Kooperberg, Loic Le Marchand, Ruth J. F. Loos, Tara C. Matise, Kari E. North, Ulrike Peters, Eimear E. Kenny, Christopher S. Carlson

Twitter Demographics

The data shown below were collected from the profiles of 757 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 207 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 24%
Researcher 44 21%
Unspecified 32 15%
Student > Bachelor 19 9%
Student > Master 15 7%
Other 47 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 63 30%
Agricultural and Biological Sciences 49 24%
Unspecified 48 23%
Medicine and Dentistry 14 7%
Neuroscience 7 3%
Other 26 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 564. 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 05 September 2019.
All research outputs
#12,877
of 13,522,548 outputs
Outputs from Nature
#1,802
of 69,809 outputs
Outputs of similar age
#463
of 247,535 outputs
Outputs of similar age from Nature
#66
of 846 outputs
Altmetric has tracked 13,522,548 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 69,809 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 76.4. This one has done particularly well, scoring higher than 97% 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 247,535 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 846 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.