Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.7K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.7K

You might also read

Related Articles

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

Sort by
Same author

Violence prevention in primary care: a qualitative study of barriers and facilitators in general practice.

BMC health services research·2026
Same author

The Smokerface poster campaign for adolescent smoking prevention in schools: A cluster-randomized controlled trial.

European journal of cancer (Oxford, England : 1990)·2026
Same author

Prevalence of musculoskeletal disorders among police officers from an organizational unit of a German federal state police force.

Journal of occupational medicine and toxicology (London, England)·2026
Same author

Socioeconomic determinants of COVID-19 incidence in a German rural area.

BMC public health·2026
Same author

Characteristics, Motivation, and Challenges of Global Research on Dengue Vaccination.

Reviews in medical virology·2026
Same author

Enhancing Product Quality in High-Variant Manufacturing: Combining Physics-Based Simulations and Data Science for Target Variable Estimation in an IoT- and Machine Learning-Driven Context.

Sensors (Basel, Switzerland)·2026

Related Experiment Video

Updated: May 3, 2026

A Silicosis Mouse Model Established by Repeated Inhalation of Crystalline Silica Dust
10:45

A Silicosis Mouse Model Established by Repeated Inhalation of Crystalline Silica Dust

Published on: January 6, 2023

2.6K

Silicosis: geographic changes in research: an analysis employing density-equalizing mapping.

Alexander Gerber1, Doris Klingelhoefer, David A Groneberg

  • 1Institute of Occupational, Social and Environmental Medicine, Goethe-University, Theodor-Stern-Kai 7, Haus 9b, Frankfurt am Main 60590, Germany. gerber@med.uni-frankfurt.de.

Journal of Occupational Medicine and Toxicology (London, England)
|January 21, 2014
PubMed
Summary

Global research on silicosis shows shifting productivity, with Asian countries, especially China, rapidly advancing. This scientometric analysis highlights evolving international scientific collaboration patterns and the need for critical evaluation of research metrics.

More Related Videos

Establishing a Silicosis Rat Model via Exposure of Whole-Body to Respirable Silica
05:03

Establishing a Silicosis Rat Model via Exposure of Whole-Body to Respirable Silica

Published on: October 28, 2022

1.6K
Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

35.9K

Related Experiment Videos

Last Updated: May 3, 2026

A Silicosis Mouse Model Established by Repeated Inhalation of Crystalline Silica Dust
10:45

A Silicosis Mouse Model Established by Repeated Inhalation of Crystalline Silica Dust

Published on: January 6, 2023

2.6K
Establishing a Silicosis Rat Model via Exposure of Whole-Body to Respirable Silica
05:03

Establishing a Silicosis Rat Model via Exposure of Whole-Body to Respirable Silica

Published on: October 28, 2022

1.6K
Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

35.9K

Area of Science:

  • Occupational Medicine
  • Public Health
  • Epidemiology

Background:

  • Growing need for critical evaluation of scientific output.
  • Modified evaluation criteria for academic personnel and institutions.
  • Importance of understanding global research trends in occupational diseases.

Purpose of the Study:

  • Analyze global scientific efforts on silicosis over 92 years.
  • Map geographical shifts in silicosis research over the last 30 years.
  • Identify leading authors, institutions, countries, and collaborations in silicosis research.

Main Methods:

  • Scientometric benchmark procedures.
  • Density-equalizing mapping techniques.
  • Analysis of publication data over 92 years, with a focus on the last 30 years.

Main Results:

  • USA is the most productive country and a hub for international cooperation.
  • United Kingdom, Germany, and China are significant contributors.
  • Asian countries, particularly China, are rapidly increasing their research output and are projected to surpass the USA.

Conclusions:

  • Scientometric analysis combined with density-equalizing mapping reveals distinct global research patterns.
  • Research productivity and citation activity in silicosis are geographically dynamic.
  • Metrics like h-index, citation rate, and impact factor require critical assessment due to potential biases.