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A Survey on Data Reproducibility in Cancer Research Provides Insights into Our Limited Ability to Translate Findings from the Laboratory to the Clinic

Overview of attention for article published in PLOS ONE, May 2013
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5 news outlets
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8 blogs
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126 X users
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10 Facebook pages
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3 Wikipedia pages
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Title
A Survey on Data Reproducibility in Cancer Research Provides Insights into Our Limited Ability to Translate Findings from the Laboratory to the Clinic
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0063221
Pubmed ID
Authors

Aaron Mobley, Suzanne K. Linder, Russell Braeuer, Lee M. Ellis, Leonard Zwelling

Abstract

The pharmaceutical and biotechnology industries depend on findings from academic investigators prior to initiating programs to develop new diagnostic and therapeutic agents to benefit cancer patients. The success of these programs depends on the validity of published findings. This validity, represented by the reproducibility of published findings, has come into question recently as investigators from companies have raised the issue of poor reproducibility of published results from academic laboratories. Furthermore, retraction rates in high impact journals are climbing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 126 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 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Germany 3 1%
United Kingdom 2 <1%
Switzerland 1 <1%
Uruguay 1 <1%
Brazil 1 <1%
Czechia 1 <1%
Chile 1 <1%
Mexico 1 <1%
Other 3 1%
Unknown 186 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 24%
Student > Ph. D. Student 38 19%
Other 18 9%
Student > Master 18 9%
Student > Bachelor 17 8%
Other 42 20%
Unknown 23 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 21%
Medicine and Dentistry 27 13%
Biochemistry, Genetics and Molecular Biology 16 8%
Computer Science 14 7%
Engineering 12 6%
Other 59 29%
Unknown 33 16%