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Related Concept Videos

Chi-square Analysis02:46

Chi-square Analysis

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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.
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Statistical Analysis: Overview01:11

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When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
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Genetic Screens02:46

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
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Mesh Analysis01:20

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Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
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Scanning Electron Microscopy01:07

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A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
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Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
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Related Experiment Video

Updated: Aug 3, 2025

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
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Crayfish Research: A Global Scientometric Analysis Using CiteSpace.

Mohamad Nor Azra1,2, Li Lian Wong1, Hani Amir Aouissi3,4,5

  • 1Climate Change Adaptation Laboratory, Institute of Marine Biotechnology (IMB), Universiti Malaysia Terengganu (UMT), Kuala Nerus 21030, Malaysia.

Animals : an Open Access Journal From MDPI
|April 13, 2023
PubMed
Summary

Scientometric analysis reveals a global surge in crayfish research, with invasive species being a key focus. International collaboration is crucial for managing invasive crayfish and ensuring ecological sustainability.

Keywords:
aquacultureaquatic organismcrayfishenvironmental factorsinvasive

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Area of Science:

  • Ecology
  • Fisheries Science
  • Bibliometrics

Background:

  • Crayfish research is expanding globally, impacting environmental sustainability and aquaculture.
  • Understanding research trends is vital for effective resource allocation and species management.

Purpose of the Study:

  • To conduct a scientometric analysis of global crayfish research trends.
  • To identify key authors, institutions, countries, and research themes in crayfish studies.
  • To map collaborative networks and co-citation patterns in the field.

Main Methods:

  • Analysis of 12,039 bibliographic datasets from the Web of Science.
  • Utilized CiteSpace software for co-citation network analysis.
  • Examined publication trends, author contributions, institutional affiliations, and keyword frequencies.

Main Results:

  • Significant increase in publication output, with 21,329 authors from 163 countries involved.
  • USA, China, and European nations lead in crayfish research publications.
  • "Invasive crayfish" emerged as the most frequent research keyword.
  • Identified key collaborative networks and influential research clusters.

Conclusions:

  • Strategic international collaboration is essential for addressing the global challenge of invasive crayfish.
  • Findings provide direction for policymakers and organizations investing in crayfish research and management.
  • Future research should focus on environmental sustainability and aquaculture aspects of crayfish species.