Numerous indexing databases keep track of the number of publications, citations, etc. in order to maintain the progress of science and individual. However, the choice of journals and articles varies among these indexing databases, hence the number of citations and h-index varies. There is no common platform exists that can provide a single count for the number of publications, citations, h-index, etc. To overcome this limitation, we have proposed a weighted unified informetrics, named "conflate". The proposed system takes into account the input from multiple indexing databases and generates a single output. Here, we have used the data from Scopus and WoS to generate a conflate dataset. Further, a comparative analysis of conflate has been performed with Scopus and WoS at three levels: author, organization, and journal. Finally, a mapping is proposed between research publications and distributed ledger technology in order to provide a transparent and distributed view to its stakeholders.
翻译：许多索引数据库记录出版物、引文等的数量,以保持科学和个人的进步。然而,这些索引数据库对期刊和文章的选择各有不同,因此引文和h-index的数量也各有不同。没有共同的平台可以提供出版物、引文、h-index等数量的单一计算。为了克服这一限制,我们提议了一个称为“配置”的加权统一度。拟议系统考虑到多个索引数据库的投入,并生成一个单一输出。我们在这里使用了Scopus和WOS的数据来生成一个组合数据集。此外,与Scopus和WOS在三个级别(作者、组织和期刊)对组合进行了比较分析。最后,建议在研究出版物和发行的分类账技术之间绘制地图,以便向其利益攸关方提供一个透明和分布的视图。
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