.png){kind=icon}
返回
Dimensions: Bringing down barriers between scientometricians and data
.png){kind=icon}
OA
AI
DOI：10.1162/qss_a_00020.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Until recently, comprehensive scientometrics data has been made available only in siloed, subscription-based tools that are inaccessible to researchers who lack institutional support and resources. As a result of limited data access, research evaluation practices have focused upon basic indicators that only take publications and their citation rates into account. This has blocked innovation on many fronts. Dimensions is a database that links and contextualizes different research information objects. It brings together data describing and linking awarded grants, clinical trials, patents, and policy documents, as well as altmetric information, alongside traditional publications and citations data. This article describes the approach that Digital Science is taking to support the scientometric community, together with the various Dimensions tools available to researchers who wish to use Dimensions data in their research at no cost.
Keyword:
bibliometrics
scientometrics
Dimensions
indicator development
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
371
被引数:
1.7K
机构
暂无机构信息
引用论文
Two new kids on the block: How do Crossref and Dimensions compare with Google Scholar, Microsoft Academic, Scopus and the Web of Science?区块上的两个新孩子: Crossref和Dimensions与Google Scholar，Microsoft Academic，Scopus和Web of Science相比如何？.png)
SCIENTOMETRICS
SCIENTOMETRICSIF3.5
PREAI
分享收藏