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Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration

Overview of attention for article published in Nature Communications, November 2019
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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 (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

28 tweeters
1 research highlight platform


7 Dimensions

Readers on

48 Mendeley
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Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration
Published in
Nature Communications, November 2019
DOI 10.1038/s41467-019-12958-0
Pubmed ID

Raymond Noordam, Maxime M. Bos, Heming Wang, Thomas W. Winkler, Amy R. Bentley, Tuomas O. Kilpeläinen, Paul S. de Vries, Yun Ju Sung, Karen Schwander, Brian E. Cade, Alisa Manning, Hugues Aschard, Michael R. Brown, Han Chen, Nora Franceschini, Solomon K. Musani, Melissa Richard, Dina Vojinovic, Stella Aslibekyan, Traci M. Bartz, Lisa de las Fuentes, Mary Feitosa, Andrea R. Horimoto, Marjan Ilkov, Minjung Kho, Aldi Kraja, Changwei Li, Elise Lim, Yongmei Liu, Dennis O. Mook-Kanamori, Tuomo Rankinen, Salman M. Tajuddin, Ashley van der Spek, Zhe Wang, Jonathan Marten, Vincent Laville, Maris Alver, Evangelos Evangelou, Maria E. Graff, Meian He, Brigitte Kühnel, Leo-Pekka Lyytikäinen, Pedro Marques-Vidal, Ilja M. Nolte, Nicholette D. Palmer, Rainer Rauramaa, Xiao-Ou Shu, Harold Snieder, Stefan Weiss, Wanqing Wen, Lisa R. Yanek, Correa Adolfo, Christie Ballantyne, Larry Bielak, Nienke R. Biermasz, Eric Boerwinkle, Niki Dimou, Gudny Eiriksdottir, Chuan Gao, Sina A. Gharib, Daniel J. Gottlieb, José Haba-Rubio, Tamara B. Harris, Sami Heikkinen, Raphaël Heinzer, James E. Hixson, Georg Homuth, M. Arfan Ikram, Pirjo Komulainen, Jose E. Krieger, Jiwon Lee, Jingmin Liu, Kurt K. Lohman, Annemarie I. Luik, Reedik Mägi, Lisa W. Martin, Thomas Meitinger, Andres Metspalu, Yuri Milaneschi, Mike A. Nalls, Jeff O’Connell, Annette Peters, Patricia Peyser, Olli T. Raitakari, Alex P. Reiner, Patrick C. N. Rensen, Treva K. Rice, Stephen S. Rich, Till Roenneberg, Jerome I. Rotter, Pamela J. Schreiner, James Shikany, Stephen S. Sidney, Mario Sims, Colleen M. Sitlani, Tamar Sofer, Konstantin Strauch, Morris A. Swertz, Kent D. Taylor, André G. Uitterlinden, Cornelia M. van Duijn, Henry Völzke, Melanie Waldenberger, Robert B. Wallance, Ko Willems van Dijk, Caizheng Yu, Alan B. Zonderman, Diane M. Becker, Paul Elliott, Tõnu Esko, Christian Gieger, Hans J. Grabe, Timo A. Lakka, Terho Lehtimäki, Kari E. North, Brenda W. J. H. Penninx, Peter Vollenweider, Lynne E. Wagenknecht, Tangchun Wu, Yong-Bing Xiang, Wei Zheng, Donna K. Arnett, Claude Bouchard, Michele K. Evans, Vilmundur Gudnason, Sharon Kardia, Tanika N. Kelly, Stephen B. Kritchevsky, Ruth J. F. Loos, Alexandre C. Pereira, Mike Province, Bruce M. Psaty, Charles Rotimi, Xiaofeng Zhu, Najaf Amin, L. Adrienne Cupples, Myriam Fornage, Ervin F. Fox, Xiuqing Guo, W. James Gauderman, Kenneth Rice, Charles Kooperberg, Patricia B. Munroe, Ching-Ti Liu, Alanna C. Morrison, Dabeeru C. Rao, Diana van Heemst, Susan Redline

Twitter Demographics

The data shown below were collected from the profiles of 28 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 21%
Student > Doctoral Student 4 8%
Student > Master 3 6%
Student > Postgraduate 3 6%
Student > Bachelor 3 6%
Other 9 19%
Unknown 16 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 13%
Biochemistry, Genetics and Molecular Biology 5 10%
Medicine and Dentistry 4 8%
Psychology 3 6%
Neuroscience 3 6%
Other 10 21%
Unknown 17 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 24 March 2020.
All research outputs
of 16,168,062 outputs
Outputs from Nature Communications
of 31,333 outputs
Outputs of similar age
of 327,495 outputs
Outputs of similar age from Nature Communications
of 5,521 outputs
Altmetric has tracked 16,168,062 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,333 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 49.8. This one has gotten more attention than average, scoring higher than 53% 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 327,495 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 87% of its contemporaries.
We're also able to compare this research output to 5,521 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.