This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
A review of animal models utilized in preclinical studies of approved gene therapy products: trends and insights
Laboratory Animal Research Open Access 22 April 2024
-
A systematic review of the development and application of home cage monitoring in laboratory mice and rats
BMC Biology Open Access 13 November 2023
-
Analytic transparency is key for reproducibility of agricultural research
CABI Agriculture and Bioscience Open Access 01 March 2023
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout

References
Arrowsmith, J. Phase II failures: 2008–2010. Nature Rev. Drug Discov. 10, 328–329 (2011).
Lehrer, J. The truth wears off: is there something wrong with the scientific method? The New Yorker [online], (2010).
Freeman, D. H. Lies, damned lies, and medical science. The Atlantic [online], (2010).
Osherovich, L. Hedging against academic risk. SciBX 14 Apr 2011 (doi:10.1038/scibx.2011.416).
Barrows, N. J., Le Sommer, C., Garcia-Blanco, M. A. & Pearson, J. L. Factors affecting reproducibility between genome-scale siRNA-based screens. J. Biomol. Screen. 15, 735–747 (2010).
Ioannidis, J. P. Why most published research findings are false. PLoS Med. 2, e124 (2005).
Schroter, S, et al. What errors do peer reviewers detect, and does training improve their ability to detect them? J. R. Soc. Med. 101, 507–514 (2008).
Nemery, B. What happens to the manuscripts that have not been accepted for publication in Occupational and Environmental Medicine? Occup. Environ. Med. 58, 604–607 (2001).
McDonald, R. J., Cloft, H. J. & Kallmes, D. F. Fate of submitted manuscripts rejected from the American Journal of Neuroradiology: outcomes and commentary. Am. J. Neuroradiol. 28, 1430–1434 (2007).
Acknowledgements
We would like to thank B. Kreft and T. Zollner for their valuable contributions to this project, S. Schoepe for support in the data analysis and S. Decker for support with bioinformatics analysis of the results.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Related links
Rights and permissions
About this article
Cite this article
Prinz, F., Schlange, T. & Asadullah, K. Believe it or not: how much can we rely on published data on potential drug targets?. Nat Rev Drug Discov 10, 712 (2011). https://doi.org/10.1038/nrd3439-c1
Published:
Issue date:
DOI: https://doi.org/10.1038/nrd3439-c1
This article is cited by
-
A review of animal models utilized in preclinical studies of approved gene therapy products: trends and insights
Laboratory Animal Research (2024)
-
Scientific Truth in a Post-Truth Era: A Review*
Science & Education (2024)
-
Towards more credible conceptual replications under heteroscedasticity and unbalanced designs
Quality & Quantity (2024)
-
Analytic transparency is key for reproducibility of agricultural research
CABI Agriculture and Bioscience (2023)
-
We must improve conditions and options for Australian ECRs
Nature Human Behaviour (2023)