Suppr超能文献

U-Index,一个用于信息学工具和数据库的数据集和影响力指标。

U-Index, a dataset and an impact metric for informatics tools and databases.

机构信息

Stanford Center for Biomedical Informatics Research, Stanford University, Medical School Office Building X215, Stanford, CA 94305, USA.

出版信息

Sci Data. 2018 Mar 20;5:180043. doi: 10.1038/sdata.2018.43.

Abstract

Measuring the usage of informatics resources such as software tools and databases is essential to quantifying their impact, value and return on investment. We have developed a publicly available dataset of informatics resource publications and their citation network, along with an associated metric (u-Index) to measure informatics resources' impact over time. Our dataset differentiates the context in which citations occur to distinguish between 'awareness' and 'usage', and uses a citing universe of open access publications to derive citation counts for quantifying impact. Resources with a high ratio of usage citations to awareness citations are likely to be widely used by others and have a high u-Index score. We have pre-calculated the u-Index for nearly 100,000 informatics resources. We demonstrate how the u-Index can be used to track informatics resource impact over time. The method of calculating the u-Index metric, the pre-computed u-Index values, and the dataset we compiled to calculate the u-Index are publicly available.

摘要

衡量信息学资源(如软件工具和数据库)的使用情况对于量化其影响、价值和投资回报至关重要。我们开发了一个公开可用的信息学资源出版物及其引文网络数据集,以及一个相关的指标(u-Index),以衡量信息学资源随时间推移的影响。我们的数据集区分了引文出现的上下文,以区分“意识”和“使用”,并使用开放获取出版物的引用宇宙来计算引文数量以量化影响。使用次数引文与意识引文之比高的资源很可能被其他人广泛使用,并且具有较高的 u-Index 得分。我们已经预先计算了近 100,000 个信息学资源的 u-Index。我们展示了如何使用 u-Index 来跟踪信息学资源随时间推移的影响。计算 u-Index 指标的方法、预先计算的 u-Index 值以及我们为计算 u-Index 而编译的数据集都是公开可用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6f/5859919/6abae37965b5/sdata201843-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验