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The UPMC OPTIMISE-C19 (OPtimizing Treatment and Impact of Monoclonal antIbodieS through Evaluation for COVID-19) trial: a structured summary of a study protocol for an open-label, pragmatic…

Overview of attention for article published in Trials, May 2021
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Title
The UPMC OPTIMISE-C19 (OPtimizing Treatment and Impact of Monoclonal antIbodieS through Evaluation for COVID-19) trial: a structured summary of a study protocol for an open-label, pragmatic, comparative effectiveness platform trial with response-adaptive randomization
Published in
Trials, May 2021
DOI 10.1186/s13063-021-05316-3
Pubmed ID
Authors

David T. Huang, Erin K. McCreary, J. Ryan Bariola, Richard J. Wadas, Kevin E. Kip, Oscar C. Marroquin, Stephen Koscumb, Kevin Collins, Judith A. Shovel, Mark Schmidhofer, Mary Kay Wisniewski, Colleen Sullivan, Donald M. Yealy, Meredith Axe, David A. Nace, Ghady Haidar, Tina Khadem, Kelsey Linstrum, Graham M. Snyder, Christopher W. Seymour, Stephanie K. Montgomery, Bryan J. McVerry, Lindsay Berry, Scott Berry, Russell Meyers, Alexandra Weissman, Octavia M. Peck-Palmer, Alan Wells, Robert Bart, Debbie L. Albin, Tami Minnier, Derek C. Angus

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 5 7%
Student > Master 5 7%
Student > Bachelor 4 5%
Other 4 5%
Student > Ph. D. Student 4 5%
Other 11 15%
Unknown 40 55%
Readers by discipline Count As %
Medicine and Dentistry 12 16%
Nursing and Health Professions 8 11%
Psychology 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Business, Management and Accounting 1 1%
Other 5 7%
Unknown 42 58%