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The role of machine learning in clinical research: transforming the future of evidence generation

Overview of attention for article published in Trials, August 2021
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2 news outlets
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86 X users

Citations

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111 Dimensions

Readers on

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212 Mendeley
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Title
The role of machine learning in clinical research: transforming the future of evidence generation
Published in
Trials, August 2021
DOI 10.1186/s13063-021-05489-x
Pubmed ID
Authors

E. Hope Weissler, Tristan Naumann, Tomas Andersson, Rajesh Ranganath, Olivier Elemento, Yuan Luo, Daniel F. Freitag, James Benoit, Michael C. Hughes, Faisal Khan, Paul Slater, Khader Shameer, Matthew Roe, Emmette Hutchison, Scott H. Kollins, Uli Broedl, Zhaoling Meng, Jennifer L. Wong, Lesley Curtis, Erich Huang, Marzyeh Ghassemi

X Demographics

X Demographics

The data shown below were collected from the profiles of 86 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 212 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 10%
Student > Ph. D. Student 19 9%
Student > Master 19 9%
Student > Bachelor 9 4%
Professor > Associate Professor 9 4%
Other 26 12%
Unknown 108 51%
Readers by discipline Count As %
Medicine and Dentistry 28 13%
Biochemistry, Genetics and Molecular Biology 14 7%
Engineering 9 4%
Computer Science 9 4%
Pharmacology, Toxicology and Pharmaceutical Science 8 4%
Other 35 17%
Unknown 109 51%