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

Self-Evaluation: Self-Enhancement and Self-Verification

Self-Evaluation: Self-Enhancement and Self-Verification

Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...

Statistical Analysis: Overview

Statistical Analysis: Overview

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.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...

Significance Testing: Overview

Significance Testing: Overview

Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...

Unusual Results

Unusual Results

Unusual results are those that have a very low chance of occurring. Unusual results can be identified using probabilities and the range rule of thumb. In problems involving probability, unusual results can be observed in 2 instances – an unusually high number of successes or an unusually low number of successes.
According to the range rule of thumb, any value above or below two standard deviations, 2σ from the mean, μ is considered unusual.
Maximum unusual value =...

Mass Analyzers: Overview

Mass Analyzers: Overview

The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...

Extraction: Advanced Methods

Extraction: Advanced Methods

Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...

You might also read

Related Articles

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

Sort by

Same author

Becoming visible with limited resources: Non-profit journalists' perspectives on search engine optimization.

PloS one·2025

Same author

Query sampler: generating query sets for analyzing search engines using keyword research tools.

PeerJ. Computer science·2023

Same author

Data set of a representative online survey on search engines with a focus on search engine optimization (SEO): a cross-sectional study.

F1000Research·2022

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 17, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Result Assessment Tool (RAT): empowering search engine data analysis.

Sebastian Sünkler¹, Dirk Lewandowski^1,2, Sebastian Schultheiß¹

¹Department of Information, Media and Communication, Hamburg University of Applied Sciences, Hamburg, Germany.

Peerj. Computer Science

|September 24, 2025

Summary

The Result Assessment Tool (RAT) is a Python toolkit for analyzing search engine and social media results. It aids researchers in designing studies, collecting data, and automating analysis for information retrieval and classification tasks.

Keywords:

Health information Information science Open source Python Retrieval effectiveness studies Retrieval tests Search engine evaluation Search engine optimization Search engines Web scraping

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

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

Related Experiment Videos

Last Updated: Jan 17, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

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

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

Area of Science:

Information Science
Computer Science
Human-Computer Interaction

Background:

Researchers need tools to analyze diverse digital information sources.
Existing methods for evaluating search results can be fragmented and time-consuming.

Purpose of the Study:

To introduce the Result Assessment Tool (RAT), a novel Python-based software toolkit.
To provide an integrated environment for designing studies, collecting, and analyzing research results.

Main Methods:

Developed a Python toolkit with two modules: RAT Frontend (Flask-based) and RAT Backend.
Frontend facilitates study design and participant rating collection.
Backend handles search result collection, source code extraction, and automated classification.

Main Results:

The Result Assessment Tool (RAT) offers a unified platform for research analysis.
Successfully applied in studies on search engine effectiveness, interactive information retrieval, and classification.

Conclusions:

RAT streamlines the research process for analyzing digital information.
The toolkit supports a range of studies in information science and related fields.