Altmetric coverage of health research in Ireland 2017-2023: a protocol for a cross-sectional analysis.

HRB open research Pub Date : 2024-09-03 eCollection Date: 2024-01-01 DOI:10.12688/hrbopenres.13895.2
Melissa K Sharp, Patricia Logullo, Pádraig Murphy, Prativa Baral, Sara Burke, David Robert Grimes, Máirín Ryan, Barbara Clyne
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引用次数: 0

Abstract

Background: Scientific publications have been growing exponentially, contributing to an oversaturated information environment. Quantifying a research output's impact and reach cannot be solely measured by traditional metrics like citation counts as these have a lag time and are largely focused on an academic audience. There is increasing recognition to consider 'alternative metrics' or altmetrics to measure more immediate and broader impacts of research. Better understanding of altmetrics can help researchers better navigate evolving information environments and changing appetites for different types of research.

Objectives: Our study aims to: 1) analyse the amount and medium of Altmetric coverage of health research produced by Irish organisations (2017 - 2023), identifying changes over time and 2) investigate differences in the amount of coverage between clinical areas (e.g., nutrition vs. neurology).

Methods: Using Altmetric institutional access, we will gather data on research outputs published 1 January 2017 through 31 December 2023 from active Irish organisations with Research Organisation Registry (ROR) IDs. Outputs will be deduplicated and stratified by their Australian and New Zealand Standard Research Classification relating to ≥1 field of health research: Biological Sciences, Biomedical and Clinical Sciences, Chemical Sciences, Health Sciences, and Psychology. We will clean data using R and perform descriptive analyses, establishing counts and frequencies of coverage by clinical area and medium (e.g., traditional news, X, etc.); data will be plotted on a yearly and quarterly basis where appropriate.

Results and conclusions: Improved understanding of one's information environment can help researchers better navigate their local landscapes and identify pathways for more effective communication to the public. All R code will be made available open-source, allowing researchers to adapt it to evaluate their local landscapes.

2017-2023年爱尔兰健康研究的Altmetric覆盖率:横向分析协议。
背景:科学出版物呈指数级增长,导致信息环境过度饱和。要量化一项研究成果的影响力和覆盖面,不能仅通过引用次数等传统指标来衡量,因为这些指标具有滞后性,而且主要针对学术受众。越来越多的人认识到,应考虑采用 "替代指标 "或altmetrics来衡量更直接、更广泛的研究影响。更好地了解 "替代指标 "可以帮助研究人员更好地驾驭不断发展的信息环境和对不同类型研究不断变化的需求:我们的研究旨在1)分析爱尔兰机构所做健康研究的 Altmetric 覆盖量和覆盖媒介(2017 - 2023 年),确定随时间推移而发生的变化;2)调查不同临床领域(如营养学与神经学)覆盖量的差异:我们将利用 Altmetric 机构访问功能,收集 2017 年 1 月 1 日至 2023 年 12 月 31 日爱尔兰活跃机构发表的研究成果数据,这些机构均拥有研究机构注册表 (ROR) ID。研究成果将按其与 ≥1 个健康研究领域相关的澳大利亚和新西兰标准研究分类进行重复和分层:生物科学、生物医学和临床科学、化学科学、健康科学和心理学。我们将使用 R 对数据进行清理,并进行描述性分析,按临床领域和媒介(如传统新闻、X 等)确定报道的数量和频率;数据将酌情按年度和季度绘制:加深对自身信息环境的了解有助于研究人员更好地驾驭本地环境,并确定更有效地与公众沟通的途径。所有 R 代码都将开源,研究人员可以对其进行调整,以评估自己的本地环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.40
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