Believe it or not

Prinz, F., Schlange, T., & Asadullah, K. (2011). Believe it or not: how much can we rely on published data on potential drug targets. Nature Reviews Drug Discovery, 10(9).

Type

Journal article

Intellectual base

Primary research

Year

2011

Volume

10

Issue

9

DOI

10.1038/nrd3439-c1

DOI registrant

Springer Nature

Link

https://doi.org/10.1038/nrd3439-c1

Cited from

statistics_experimental_design

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Primes

• Reproducibility & Replicability

  • This sourcePrinz et al. Bayer in-house audit of preclinical-research replication rates.

Verification

Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.

Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.

Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.

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