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Addressing identification bias in the design and analysis of cluster-randomized pragmatic trials: a case study

Overview of attention for article published in Trials, March 2020
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Title
Addressing identification bias in the design and analysis of cluster-randomized pragmatic trials: a case study
Published in
Trials, March 2020
DOI 10.1186/s13063-020-4148-z
Pubmed ID
Authors

Jennifer F. Bobb, Hongxiang Qiu, Abigail G. Matthews, Jennifer McCormack, Katharine A. Bradley

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 13%
Student > Bachelor 5 11%
Student > Ph. D. Student 4 9%
Student > Master 3 6%
Other 2 4%
Other 3 6%
Unknown 24 51%
Readers by discipline Count As %
Nursing and Health Professions 8 17%
Medicine and Dentistry 6 13%
Psychology 3 6%
Economics, Econometrics and Finance 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 3 6%
Unknown 24 51%