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Statistical Reviewers Improve Reporting in Biomedical Articles: A Randomized Trial

Overview of attention for article published in PLOS ONE, March 2007
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Title
Statistical Reviewers Improve Reporting in Biomedical Articles: A Randomized Trial
Published in
PLOS ONE, March 2007
DOI 10.1371/journal.pone.0000332
Pubmed ID
Authors

Erik Cobo, Albert Selva-O'Callagham, Josep-Maria Ribera, Francesc Cardellach, Ruth Dominguez, Miquel Vilardell

Abstract

Although peer review is widely considered to be the most credible way of selecting manuscripts and improving the quality of accepted papers in scientific journals, there is little evidence to support its use. Our aim was to estimate the effects on manuscript quality of either adding a statistical peer reviewer or suggesting the use of checklists such as CONSORT or STARD to clinical reviewers or both.

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X Demographics

The data shown below were collected from the profiles of 122 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Croatia 1 2%
United States 1 2%
Unknown 54 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Researcher 8 14%
Professor > Associate Professor 6 11%
Professor 5 9%
Other 5 9%
Other 16 28%
Unknown 5 9%
Readers by discipline Count As %
Medicine and Dentistry 20 35%
Agricultural and Biological Sciences 7 12%
Social Sciences 5 9%
Mathematics 4 7%
Psychology 4 7%
Other 7 12%
Unknown 10 18%