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Ten simple rules for women principal investigators during a pandemic.
Kreeger, Pamela K; Brock, Amy; Gibbs, Holly C; Grande-Allen, K Jane; Huang, Alice H; Masters, Kristyn S; Rangamani, Padmini; Reagan, Michaela R; Servoss, Shannon L.
  • Kreeger PK; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
  • Brock A; Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas, United States of America.
  • Gibbs HC; Microscopy and Imaging Center, Texas A&M University, College Station, Texas, United States of America.
  • Grande-Allen KJ; Department of Bioengineering, Rice University, Houston, Texas, United States of America.
  • Huang AH; Department of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
  • Masters KS; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
  • Rangamani P; Department of Mechanical and Aerospace Engineering, University of California San Diego, San Diego, California, United States of America.
  • Reagan MR; Center for Molecular Medicine, Maine Medical Center Research Institute, Scarborough, Maine, United States of America.
  • Servoss SL; Ralph E. Martin Department of Chemical Engineering, University of Arkansas, Fayetteville, Arkansas, United States of America.
PLoS Comput Biol ; 16(10): e1008370, 2020 10.
Article in English | MEDLINE | ID: covidwho-1383728
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Research Personnel / Women / Workload / Pandemics Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Female / Humans Language: English Journal: PLoS Comput Biol Journal subject: Biology / Medical Informatics Year: 2020 Document Type: Article Affiliation country: JOURNAL.PCBI.1008370

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Research Personnel / Women / Workload / Pandemics Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Female / Humans Language: English Journal: PLoS Comput Biol Journal subject: Biology / Medical Informatics Year: 2020 Document Type: Article Affiliation country: JOURNAL.PCBI.1008370