Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Analysis of Population Pharmacokinetic Data

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...

Pedigree Analysis

Pedigree Analysis

Chi-square Analysis

Chi-square Analysis

The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization.

ArXiv·2026

Same author

DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI.

ArXiv·2026

Same author

MedHopQA: A Disease-Centered Multi-Hop Reasoning Benchmark and Evaluation Framework for LLM-Based Biomedical Question Answering.

ArXiv·2026

Same author

Toward Multimodal Conversational AI for Age-Related Macular Degeneration.

ArXiv·2026

Same author

What Do Biomedical NER and Entity Linking Benchmarks Measure? A Corpus-Centric Diagnostic Framework.

ArXiv·2026

Same author

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification.

ArXiv·2026

Same journal

Development of CypriSSR: a genome-wide, chromosome-level microsatellite database for multiple cyprinidae species.

Database : the journal of biological databases and curation·2026

Same journal

KitBase Expanded: An Integrated Genomic and Phenotypic Resource for 3,268 Fast-Neutron-Irradiated Rice Mutants.

Database : the journal of biological databases and curation·2026

Same journal

PhaLP 2.0: extending the community-oriented phage lysin database with a SUBLYME pipeline for metagenomic discovery.

Database : the journal of biological databases and curation·2026

Same journal

A similarity metric, rubric, and unified hierarchy for biomedical publication types and study designs.

Database : the journal of biological databases and curation·2026

Same journal

GUTAID: a curated database linking gut microbial antigens to autoimmune mechanisms.

Database : the journal of biological databases and curation·2026

Same journal

Rosetta Statements: simplifying FAIR knowledge graph construction with a user-centred approach.

Database : the journal of biological databases and curation·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 16, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Understanding PubMed user search behavior through log analysis.

Rezarta Islamaj Dogan¹, G Craig Murray, Aurélie Névéol

¹National Center for Biotechnology Information, US National Library of Medicine, Bethesda, MD 20894, USA.

Database : the Journal of Biological Databases and Curation

|February 17, 2010

Summary

This summary is machine-generated.

PubMed users exhibit unique search behaviors, including persistence and frequent query reformulation, crucial for improving biomedical information retrieval. Understanding these habits enhances access to vital research literature.

More Related Videos

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

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

Published on: October 24, 2019

Pattern-based Search of Epigenomic Data Using GeNemo

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Related Experiment Videos

Last Updated: Jun 16, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

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

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

Published on: October 24, 2019

Pattern-based Search of Epigenomic Data Using GeNemo

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Area of Science:

Biomedical Informatics
Information Retrieval
Health Sciences

Background:

PubMed is a critical free resource for biomedical researchers, offering access to over 19 million citations.
Millions of users access PubMed daily, necessitating efficient search tools to navigate the vast biomedical literature.
Understanding user behavior is key to enhancing the effectiveness of biomedical information retrieval systems.

Purpose of the Study:

To investigate PubMed users' information needs and search behaviors.
To identify unique characteristics of biomedical information seeking compared to general web searches.
To provide insights for improving PubMed's search functionalities and user experience.

Main Methods:

Analysis of one month of PubMed log data, encompassing over 23 million user sessions and 58 million queries.
Characterization of various aspects of user interactions with the PubMed interface.
Identification of common search patterns and user decision-making factors.

Main Results:

Biomedical information searches in PubMed show distinct patterns, differing from general web searches.
PubMed users demonstrate high persistence, frequently reformulating their search queries.
Top search types include author name, gene/protein, and disease searches, with frequent use of abbreviations.

Conclusions:

User search habits and information needs are critical for optimizing biomedical information retrieval.
Analysis of user interaction data provides valuable insights for enhancing search tools like PubMed.
Tailoring search functionalities to unique biomedical information-seeking behaviors can improve research efficiency.