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An Absolute Risk Model to Identify Individuals at Elevated Risk for Pancreatic Cancer in the General Population

Overview of attention for article published in PLOS ONE, September 2013
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Title
An Absolute Risk Model to Identify Individuals at Elevated Risk for Pancreatic Cancer in the General Population
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0072311
Pubmed ID
Authors

Alison P. Klein, Sara Lindström, Julie B. Mendelsohn, Emily Steplowski, Alan A. Arslan, H. Bas Bueno-de-Mesquita, Charles S. Fuchs, Steven Gallinger, Myron Gross, Kathy Helzlsouer, Elizabeth A. Holly, Eric J. Jacobs, Andrea LaCroix, Donghui Li, Margaret T. Mandelson, Sara H. Olson, Gloria M. Petersen, Harvey A. Risch, Rachael Z. Stolzenberg-Solomon, Wei Zheng, Laufey Amundadottir, Demetrius Albanes, Naomi E. Allen, William R. Bamlet, Marie-Christine Boutron-Ruault, Julie E. Buring, Paige M. Bracci, Federico Canzian, Sandra Clipp, Michelle Cotterchio, Eric J. Duell, Joanne Elena, J. Michael Gaziano, Edward L. Giovannucci, Michael Goggins, Göran Hallmans, Manal Hassan, Amy Hutchinson, David J. Hunter, Charles Kooperberg, Robert C. Kurtz, Simin Liu, Kim Overvad, Domenico Palli, Alpa V. Patel, Kari G. Rabe, Xiao-Ou Shu, Nadia Slimani, Geoffrey S. Tobias, Dimitrios Trichopoulos, Stephen K. Van Den Eeden, Paolo Vineis, Jarmo Virtamo, Jean Wactawski-Wende, Brian M. Wolpin, Herbert Yu, Kai Yu, Anne Zeleniuch-Jacquotte, Stephen J. Chanock, Robert N. Hoover, Patricia Hartge, Peter Kraft

Abstract

We developed an absolute risk model to identify individuals in the general population at elevated risk of pancreatic cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 2 2%
Denmark 1 <1%
Unknown 111 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 25%
Student > Ph. D. Student 16 14%
Other 10 8%
Student > Doctoral Student 10 8%
Student > Bachelor 10 8%
Other 21 18%
Unknown 22 19%
Readers by discipline Count As %
Medicine and Dentistry 42 36%
Biochemistry, Genetics and Molecular Biology 21 18%
Agricultural and Biological Sciences 8 7%
Computer Science 5 4%
Social Sciences 3 3%
Other 11 9%
Unknown 28 24%