PubPeer functions as a specialized platform for post-publication peer review, enabling the scientific community to engage in transparent technical discussions regarding published research. The service allows users to comment on papers identified by DOIs or PubMed IDs, often highlighting critical issues such as statistical discrepancies, image manipulation, or methodological flaws that may have been overlooked during initial journal reviews. By providing a searchable database and browser extensions that flag commented-on articles in real-time, the platform serves as a continuous audit layer for the global scientific record, facilitating the identification of errors and the correction of the literature through retractions or clarifications.
科学和质量管理领域的专业人士可以利用 PubPeer 在将外部研究成果应用于自身创新或生产流程之前进行技术尽职调查。通过监控平台上对基础研究的评价，研究人员可以避免因数据无法复现而造成的高昂成本，并确保研发投资建立在可靠的证据之上。对于生物技术和材料科学等高风险领域而言，此应用对于维护数据完整性标准尤为重要，因为在这些领域，基础学术研究的有效性直接影响最终工程成果的安全性和有效性以及质量控制方案的可靠性。
