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数据出版物与引文影响力相关。

Data Publications Correlate with Citation Impact.

作者信息

Leitner Florian, Bielza Concha, Hill Sean L, Larrañaga Pedro

机构信息

Computational Intelligence Group, Department for Artificial Intelligence, Universidad Politécnica de MadridMadrid, Spain; Data Catalytics S.L.Madrid, Spain.

Computational Intelligence Group, Department for Artificial Intelligence, Universidad Politécnica de Madrid Madrid, Spain.

出版信息

Front Neurosci. 2016 Sep 13;10:419. doi: 10.3389/fnins.2016.00419. eCollection 2016.

Abstract

Neuroscience and molecular biology have been generating large datasets over the past years that are reshaping how research is being conducted. In their wake, open data sharing has been singled out as a major challenge for the future of research. We conducted a comparative study of citations of data publications in both fields, showing that the average publication tagged with a data-related term by the NCBI MeSH (Medical Subject Headings) curators achieves a significantly larger citation impact than the average in either field. We introduce a new metric, the data article citation index (DAC-index), to identify the most prolific authors among those data-related publications. The study is fully reproducible from an executable Rmd (R Markdown) script together with all the citation datasets. We hope these results can encourage authors to more openly publish their data.

摘要

在过去几年中,神经科学和分子生物学产生了大量数据集,正在重塑研究的开展方式。随之而来的是,开放数据共享已被视为研究未来面临的一项重大挑战。我们对这两个领域中数据出版物的引用情况进行了比较研究,结果表明,被美国国立医学图书馆医学主题词表(NCBI MeSH)编目人员标注有数据相关术语的出版物,其平均被引影响力显著高于这两个领域中的平均水平。我们引入了一种新的指标——数据文章引用指数(DAC指数),以在那些与数据相关的出版物中识别出最多产的作者。该研究可以通过一个可执行的Rmd(R Markdown)脚本以及所有引用数据集完全重现。我们希望这些结果能够鼓励作者更开放地发表他们的数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a5/5020078/0cc5aef2571d/fnins-10-00419-g0001.jpg

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