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术语解释
数据源
CrossRef , Web of Science, CSCD, Scopus, Altmetric, 和 PlumX Metrics
引用
来自各个数据库的被引数据可能因服务而异, 引用数据依赖于CrossRef, Web of
Science和CSCD数据库的API接口。这些数据会每周更新一次, 读者可以点击引文数字上的链接来访问施引文章列表。
Altmetric分值
Altmetric根据文章收到的社交与新闻媒体关注度计算得分。圆圈中的每个彩色代表不同类型的媒体,
中心的数字是Altmetric分值。该分值是根据两个主要来源计算得出的:
社交媒体和主流新闻媒体。Altmetric还跟踪参考文献管理工具(如Mendeley和CiteULike)的使用情况,
但这些不会对分值产生影响。较旧的文章通常会得分较高, 因为他们有更多的时间来引起人们的注意。有关Altmetric,
Altmetric分值和使用源的更详细说明, 请参阅Altmetric的帮助页面。
关于 PlumX 指标
PlumX Metrics 为人们提供单篇研究成果（文章、会议记录、书籍章节等）的线上互动及相关影响，
例如研究发表被新闻提及或推特提及等。这些指标统称为 PlumX 指标，共分为五个类别，可帮助理解所涉及的大量数据，
并通过比较同类数据进行分析。
阅读统计数据
来自SciEngine的阅读统计数据可以下载, 数据每日更新。
Explanation of terms and methodology
Sources
CrossRef , Web of Science, CSCD, Scopus, Altmetric, and PlumX Metrics
Citations
Single number count for article citations from each service's database may
vary by service. The citations counts are reliant on the availability of the
individual APIs from CrossRef , Web of Science and CSCD. These counts are
updated daily once they become available. Once a citation count is
available, the list of articles citing this one is accessible by clicking on
the circle for that citation source.
Altmetric score
Altmetric calculates a score based on the online attention an article
receives. Each coloured thread in the circle represents a different type of
online attention and the number in the centre is the Altmetric score. The
score is calculated based on two main sources of online attention: social
media and mainstream news media. Altmetric also tracks usage in online
reference managers such as Mendeley and CiteULike, but these do not
contribute to the score. Older articles will typically score higher because
they have had more time to get noticed. For a more detailed description of
Altmetric, the Altmetric score, and sources used, please see Altmetric's
information page.
About PlumX Metrics
PlumX Metrics provide insights into the ways people interact with individual pieces ofresearch
output
(articles, conference proceedings, book chapters, and many more) in the online environment.
Examples
include, when research is mentioned in the news or is tweeted about, Collectively known as PlumX
Metrics,
these metrics are divided into five categories to help make sense of the huge amounts of data
involved and to
enable analysis by comparing like with like.
Proportional views
The geographic download and view numbers broken down for SciEngine sources
is provided and is updated daily.
