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Genetic meta-analysis identifies 10 novel loci and functional pathways for Alzheimer’s disease risk

Overview of attention for article published in bioRxiv, February 2018
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Title
Genetic meta-analysis identifies 10 novel loci and functional pathways for Alzheimer’s disease risk
Published in
bioRxiv, February 2018
DOI 10.1101/258533
Authors

Iris E Jansen, Jeanne E Savage, Kyoko Watanabe, Julien Bryois, Dylan M Williams, Stacy Steinberg, Julia Sealock, Ida K Karlsson, Sara Hägg, Lavinia Athanasiu, Nicola Voyle, Petroula Proitsi, Aree Witoelar, Sven Stringer, Dag Aarsland, Ina S Almdahl, Fred Andersen, Sverre Bergh, Francesco Bettella, Sigurbjorn Bjornsson, Anne Brækhus, Geir Bråthen, Christiaan de Leeuw, Rahul S Desikan, Srdjan Djurovic, Logan Dumitrescu, Tormod Fladby, Timothy Homan, Palmi V Jonsson, Steven J Kiddle, K Arvid Rongve, Ingvild Saltvedt, Sigrid B. Sando, Geir Selbæk, Nathan Skenne, Jon Snaedal, Eystein Stordal, Ingun D. Ulstein, Yunpeng Wang, Linda R White, Jens Hjerling-Leffler, Patrick F Sullivan, Wiesje M van der Flier, Richard Dobson, Lea K. Davis, Hreinn Stefansson, Kari Stefansson, Nancy L Pedersen, Stephan Ripke, Ole A Andreassen, Danielle Posthuma

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 29%
Student > Ph. D. Student 16 15%
Professor 6 6%
Student > Bachelor 6 6%
Student > Master 6 6%
Other 16 15%
Unknown 25 24%
Readers by discipline Count As %
Neuroscience 22 21%
Biochemistry, Genetics and Molecular Biology 20 19%
Agricultural and Biological Sciences 17 16%
Medicine and Dentistry 6 6%
Computer Science 2 2%
Other 7 7%
Unknown 32 30%