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比较传统指标与替代指标以衡量重症医学文献影响力的研究

Study Comparing Traditional Versus Alternative Metrics to Measure the Impact of the Critical Care Medicine Literature.

作者信息

Kaul Viren, Bhan Rohit, Stewart Nancy H, Behrens Deanna M, Gutman Amy, Dangayach Neha, Geisler Benjamin P, Carroll Christopher L

机构信息

Mount Sinai School of Medicine/Elmhurst Hospital Center, New York, NY.

Icahn School of Medicine at Mount Sinai, New York, NY.

出版信息

Crit Care Explor. 2019 Aug 1;1(8):e0028. doi: 10.1097/CCE.0000000000000028. eCollection 2019 Aug.

DOI:10.1097/CCE.0000000000000028
PMID:32166269
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7063950/
Abstract

Our objective was to evaluate the association between traditional metrics such as Impact Factor and Eigenfactor with respect to alternative metrics. The Altmetric Attention Score for the top nine pulmonary and critical care journals was compared with Impact Factor, Eigenfactor, and citations over two time periods (2007-2011 and 2012-2016). There was a significant increase in the Altmetric Attention Score (52 from 2007 to 2011 vs 1,061 from 2012 to 2016; < 0.001) but no significant differences in Total Citations, Impact Factor, or Eigenfactor. There was a strong positive correlation between citations and Altmetric Attention Score, negative correlations between Eigenfactor and Altmetric Attention Score for most journals, and no clear association between Impact Factor and Altmetric Attention Score. Over time, the digital reach of traditional publications has increased significantly, while no significant increase was noted for the traditional metrics. These findings likely reflect discussions of articles online that are not captured by traditional metrics and hence their impact on the community at large.

摘要

我们的目标是评估诸如影响因子和特征因子等传统指标与替代指标之间的关联。将九种顶级肺科和重症医学期刊的替代计量关注度得分与影响因子、特征因子以及两个时间段(2007 - 2011年和2012 - 2016年)的引用次数进行了比较。替代计量关注度得分有显著增加(2007年至2011年为52,而2012年至2016年为1061;<0.001),但总引用次数、影响因子或特征因子无显著差异。引用次数与替代计量关注度得分之间存在强正相关,大多数期刊的特征因子与替代计量关注度得分之间存在负相关,而影响因子与替代计量关注度得分之间无明显关联。随着时间的推移,传统出版物的数字影响力显著增加,而传统指标则没有显著增长。这些发现可能反映了在线文章讨论的情况,而这些情况未被传统指标所涵盖,因此反映了它们对整个学术界的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/439c/7063950/92e8eaa43c1c/cc9-1-e0028-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/439c/7063950/92e8eaa43c1c/cc9-1-e0028-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/439c/7063950/92e8eaa43c1c/cc9-1-e0028-g002.jpg

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本文引用的文献

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2
The Altmetric Score: A New Measure for Article-Level Dissemination and Impact.Altmetric评分:文章层面传播与影响力的一种新衡量指标。
Ann Emerg Med. 2015 Nov;66(5):549-53. doi: 10.1016/j.annemergmed.2015.04.022. Epub 2015 May 23.
3
Characterizing social media metrics of scholarly papers: the effect of document properties and collaboration patterns.
描述学术论文的社交媒体指标:文献属性和合作模式的影响
PLoS One. 2015 Mar 17;10(3):e0120495. doi: 10.1371/journal.pone.0120495. eCollection 2015.
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Twitter as a tool for communication and knowledge exchange in academic medicine: A guide for skeptics and novices.推特作为学术医学领域交流与知识共享的工具:给怀疑者和新手的指南。
Med Teach. 2015 May;37(5):411-6. doi: 10.3109/0142159X.2014.993371. Epub 2014 Dec 19.
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Using publication metrics to highlight academic productivity and research impact.利用出版指标突出学术产出和研究影响力。
Acad Emerg Med. 2014 Oct;21(10):1160-72. doi: 10.1111/acem.12482.
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Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact.推文能否预测引用量?基于推特的社会影响力指标及其与传统科学影响力指标的相关性。
J Med Internet Res. 2011 Dec 19;13(4):e123. doi: 10.2196/jmir.2012.
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The Eigenfactor metrics.特征因子指标。
J Neurosci. 2008 Nov 5;28(45):11433-4. doi: 10.1523/JNEUROSCI.0003-08.2008.
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How Web 2.0 is changing medicine.Web 2.0 如何改变医学。
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