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相关概念视频

Review and Preview01:13

Review and Preview

9.4K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
9.4K
Multiple Bar Graph01:07

Multiple Bar Graph

8.0K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
8.0K
Protein Networks02:26

Protein Networks

4.1K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.1K
Bar Graph01:07

Bar Graph

19.8K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
19.8K
Time-Series Graph00:54

Time-Series Graph

4.5K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.5K
Statgraphics01:10

Statgraphics

199
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
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相关实验视频

Updated: Sep 18, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

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桑基网络 (SankeyNetwork):一个清晰简洁的可视化工具,用于图书统计数据.

Sher-Wei Lim1,2,3, Willy Chou3,4, Lifan Chen5

  • 1Department of Neurosurgery, Chi-Mei Medical Center, Chiali, Tainan, Taiwan.

MethodsX
|June 23, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了桑基图和斜率图,以改进文献计量分析,增强作者合作和研究主题的可视化. 这些方法为研究模式和关键贡献者提供了更清晰的见解.

关键词:
图书统计学分析同一个词的出现同一个词的出现.国家合作合作国家合作.基因表达分析 基因表达分析网络 网络 网络 网络 网络 网络绩效表表现表表表现表表表现表表表现表表表现表表表现表表表现表表表现表表表现表表表现表表表现表表表现表表现表表现表表表现表表现表表现表表表现表表现表表现表表表现表现表表现表现表现表表表现表现表现表现表现表这是一个Sankey图表.作为网络的Sankey类型图 [SankeyNetwork]斜率图表 斜率图表 斜率图

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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

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Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
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相关实验视频

Last Updated: Sep 18, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

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Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
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科学领域:

  • 圣经计量学和科学计量学
  • 信息科学 信息科学 信息科学
  • 研究评估研究评估

背景情况:

  • 传统的图书识别可视化,如同词网络,在识别关键贡献者和主题方面存在局限性.
  • 现有的方法往往在表示研究景观的视觉复杂性和清晰度方面扎.

研究的目的:

  • 提出一个新的框架,将桑基图与作者合作和共同词的出现整合起来.
  • 通过克服传统方法的局限性来增强文献计量可视化.
  • 更有效地识别关键贡献者和新兴研究主题.

主要方法:

  • 来自METHODSX杂志 (2020-2024) 的 2252 篇文章的分析.
  • 将桑基图和斜率图与图库数据集成在一起.
  • 使用简要的绩效表和跟进领先的集群算法 (FLCA).

主要成果:

  • 美国,国际共生协会 (印度) 和翔X汉被确定为突出的实体/作者.
  • "模型"成为最常见的关键词.
  • 2020年Wondimagegn Mengist的一篇文章获得了最高的引用数量 (370).
  • 斜率图显示了四年来四个核心元素的上升趋势.

结论:

  • 拟议的框架结合了性能表,桑基图和斜率图,提供了更清晰的洞察力和更少的视觉复杂性.
  • 这些方法被推用于未来的文献计量分析,以检测研究热点和不断变化的模式.
  • 桑基图有效地增强了作者合作的传统文献识别可视化方法.