Bibliometrics is useful to analyze the research impact for measuring the research quality. Different bibliographic databases like Scopus, Web of Science, Google Scholar etc. are accessed for evaluating the trend of publications and citations from time to time. Some of these databases are free and some are subscription based. Its always debatable that which bibliographic database is better and in what terms. To provide an optimal solution to availability of multiple bibliographic databases, we have implemented a single authentic database named as ``conflate'' which can be used for fetching publication and citation trend of an author. To further strengthen the generated database and to provide the transparent system to the stakeholders, a consensus mechanism ``proof of reference (PoR)'' is proposed. Due to three consent based checks implemented in PoR, we feel that it could be considered as a authentic and honest citation data source for the calculation of unified informetrics for an author.
翻译：书目测量法有助于分析研究质量的衡量研究影响。访问Scopus、科学网、谷歌学者等不同的书目数据库是为了评估出版物和引文的趋势,有些数据库是免费的,有些数据库是以订阅为基础的。有些数据库是免费的,有些数据库是订阅的。它总是有争论的书目数据库比较好,用什么术语来说明。为了为多种书目数据库的提供提供最佳的解决方案,我们建立了一个称为“配置”的单一真实数据库,可以用来检索作者的出版和引文趋势。为了进一步加强生成的数据库,并向利益攸关方提供透明的系统,建议了一个协商一致的机制“可校准参考”。由于在波尔实施了三项基于同意的检查,我们认为,可以把它视为一个真实和诚实的引用数据源,用于计算作者的统一度。
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