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Related Concept Videos

Ogive Graph01:07

Ogive Graph

An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this type...
Bar Graph01:07

Bar Graph

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...
Protein Networks02:26

Protein Networks

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,...
Protein Networks02:26

Protein Networks

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Multiple Bar Graph01:07

Multiple Bar Graph

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.
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Time-Series Graph00:54

Time-Series Graph

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...

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Related Experiment Video

Updated: May 9, 2026

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

CiteGraph: a citation network system for MEDLINE articles and analysis.

Qing Zhang1, Hong Yu

  • 1Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.

Studies in Health Technology and Informatics
|August 8, 2013
PubMed
Summary
This summary is machine-generated.

CiteGraph is a new automated system that builds large biomedical citation networks from full-text articles. It reveals publication and collaboration patterns, aiding bibliometric research.

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Area of Science:

  • Bibliometrics
  • Network Science
  • Biomedical Informatics

Background:

  • Citation and co-authorship networks are crucial for understanding scientific progress.
  • Existing methods for constructing these networks are often manual or limited in scale.

Purpose of the Study:

  • To develop and implement CiteGraph, an automated system for creating large-scale biomedical citation and co-authorship networks.
  • To analyze the characteristics of the constructed network and introduce novel network-based analytical methods.

Main Methods:

  • Developing CiteGraph to represent articles and authors as nodes connected by citation and co-authorship relations.
  • Processing over 1.65 million full-text biomedical articles from Elsevier.
  • Evaluating the system's accuracy in citation mapping and article identification.

Main Results:

  • Successfully constructed a large-scale network with 1.65 million articles, 6.35 million citations, and 1.37 million authors.
  • Achieved high F1-scores (98%-99%) for citation mapping and MEDLINE article identification.
  • Confirmed network characteristics align with small-scale bibliometric assumptions and revealed novel insights into researcher publication histories.

Conclusions:

  • CiteGraph is the first fully automated system for large-scale biomedical citation network creation.
  • The system provides a valuable resource for the biomedical community and bibliometric research.
  • Novel network-based methods enable deeper analysis of publication, citation, and collaboration patterns.