Science is a social process with far-reaching impact on our modern society. In recent years, for the first time we are able to scientifically study the science itself. This is enabled by massive amounts of data on scientific publications that is increasingly becoming available. The data is contained in several databases such as Web of Science or PubMed, maintained by various public and private entities. Unfortunately, these databases are not always consistent, which considerably hinders this study. Relying on the powerful framework of complex networks, we conduct a systematic analysis of the consistency among six major scientific databases. We found that identifying a single "best" database is far from easy. Nevertheless, our results indicate appreciable differences in mutual consistency of different databases, which we interpret as recipes for future bibliometric studies.
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机译：科学是一个对现代社会产生深远影响的社会过程。近年来，我们第一次能够科学地研究科学本身。越来越多的科学出版物上的大量数据使这成为可能。数据包含在多个数据库中，例如Web of Science或PubMed，由各种公共和私人实体维护。不幸的是，这些数据库并不总是一致的，这大大阻碍了这项研究。依靠复杂网络的强大框架，我们对六个主要科学数据库之间的一致性进行了系统的分析。我们发现识别单个“最佳”数据库远非易事。然而，我们的结果表明不同数据库之间的相互一致性存在明显差异，我们将其解释为未来文献计量研究的诀窍。
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