开放可重现的科学测量研究与亚历山大3kk
1Department of Management Science and Technology, Athens University of Economics and Business, Athens, Greece.
PloS one
|November 30, 2023
概括
亚历山大3k是一个Python工具,可以对科学出版物进行可重复分析. 它从开放的元数据填充数据库,促进透明的研究和文献识别洞察力.
科学领域:
- 图书统计学 图书统计学
- 科学测量公司的科学测量.
- 科学信息管理科学信息管理
背景情况:
- 科学文献分析依赖于在线数据库,但在可重复性,透明度和技术限制方面面临挑战.
- 现有的合成出版数据的方法往往缺乏可重复性.
研究的目的:
- 介绍Alexandria3k,这是一个Python软件包和命令行工具,用于可重复的科学出版物分析.
- 为了使大型出版物元数据集的有效和透明的处理和分析.
- 展示Alexandria3k在可视化研究趋势和计算文献计量指标方面的实用性.
主要方法:
- 开发了Alexandria3k作为一个Python包和命令行工具.
- 集成的功能,以填充嵌入式关系数据库与开放的出版元数据.
- 利用多功能和高性能查询进行数据处理和分析.
主要成果:
- 展示了Alexandria3k可视化科学领域的演变和出版物之间的关系的能力.
- 使用该工具概述了与COVID-19研究相关的科学计量事实.
- 成功复制了科学生产力,影响和破坏的常用文献计量指标.
结论:
- 亚历山大3k为科学出版物的可复制和透明分析提供了一个强大的解决方案.
- 该软件有助于更深入地了解研究趋势,科学影响和科学领域的动态.
- 为研究人员,圣经计量学家和科学计量学家提供了宝贵的工具.
更多相关视频
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
232
07:50Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
183
相关概念视频
The Scientific Method
The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
Statistical Methods for Analyzing Epidemiological Data
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
