Jove
Visualize
Contact Us

Related Concept Videos

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

891
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
891
Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview01:19

Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview

1.0K
In inductively coupled plasma–mass spectrometry (ICP–MS), an inductively coupled plasma (ICP) torch is used as an atomizer and ionizer. Solid samples are dissolved and volatilized before being introduced into the high-temperature argon plasma, while solution samples are nebulized and passed through the high-temperature argon plasma. Plasma dissociates the analytes and ionizes their component atoms to form a mixture of positive ions and molecular species. The positive ions are then...
1.0K
Regression Analysis01:11

Regression Analysis

6.5K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
6.5K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

9.7K
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...
9.7K
The Replisome03:01

The Replisome

7.8K
7.8K
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

572
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...
572

You might also read

Related Articles

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

Sort by
Same author

Grassland Bird Species Decline With Colonial-Era Landscape Change in a Tropical Montane Ecosystem.

Global change biology·2025
Same author

Why is the early bird early? An evaluation of hypotheses for avian dawn-biased vocal activity.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2025
Same author

Determining levels of cryptic diversity within the endemic frog genera, Indirana and Walkerana, of the Western Ghats, India.

PloS one·2020
Same journal

High Early Embryo Mortality and Low Hatching Success Observed in Aldabra Giant Tortoise Populations.

Ecology and evolution·2026
Same journal

Seasonal Differences in Migration Routes and Stopover Use of Greater Sand Plovers Between Mongolia and the Beibu Gulf Revealed by GPS Tracking.

Ecology and evolution·2026
Same journal

Shrub Encroachment Rewires Microbial Networks to Suppress Soil Organic Carbon Mineralization in Subalpine Meadows.

Ecology and evolution·2026
Same journal

Toward Precision Biodiversity Detection: An Edge-Deployable Framework for Mitigating Data Redundancy.

Ecology and evolution·2026
Same journal

The Plasticity of the Antioxidant Defence System of Coastal Zooplankton Communities.

Ecology and evolution·2026
Same journal

A Tale of Tail Loss: Fine-Scale Landscape Composition Predicts Caudal Autotomy Along an Urban Gradient in Two Congeneric Lizards.

Ecology and evolution·2026
See all related articles
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 Experiment Video

Updated: Oct 15, 2025

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

490

pyResearchInsights-An open-source Python package for scientific text analysis.

Sarthak J Shetty1, Vijay Ramesh2

  • 1Center for Ecological Sciences Indian Institute of Science Bengaluru India.

Ecology and Evolution
|October 28, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces pyResearchInsights, an open-source tool for analyzing scientific abstracts using natural language processing. It identifies research topics and visualizes them, aiding literature synthesis in ecology and conservation biology.

Keywords:
automated content analysisexploratory analysisnatural language processing

More Related Videos

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

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

Published on: February 23, 2019

8.9K
Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

2.0K

Related Experiment Videos

Last Updated: Oct 15, 2025

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

490
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

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

Published on: February 23, 2019

8.9K
Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

2.0K

Area of Science:

  • Computational Biology
  • Ecology
  • Conservation Biology

Background:

  • Increasing scientific publications necessitate advanced methods for literature synthesis.
  • Automated content analysis of scientific abstracts is crucial for extracting key research trends.
  • Existing tools often lack comprehensive, end-to-end functionality.

Purpose of the Study:

  • Introduce pyResearchInsights, a novel open-source package for automated analysis of scientific abstracts.
  • Demonstrate the package's utility in identifying research topics within specific scientific domains.
  • Compare pyResearchInsights with existing automated content analysis tools.

Main Methods:

  • Developed pyResearchInsights, a natural language processing package for abstract analysis.
  • Collected and analyzed 1,131 abstracts on Tropical Andes birds and 22,561 abstracts in conservation biology.
  • Generated interactive concept maps to visualize identified research topics.

Main Results:

  • Identified key research areas in Tropical Andes avian studies, including species distributions, climate change, and plant ecology.
  • Revealed twelve global conservation research topics, with conservation policy and landscape ecology being prominent.
  • Showcased variations in conservation research topics across five biodiversity hotspots.

Conclusions:

  • pyResearchInsights offers a robust, end-to-end solution for automated scientific literature analysis.
  • The package effectively synthesizes information and visualizes research trends in ecology and conservation.
  • pyResearchInsights demonstrates superior functionality compared to existing automated content analysis tools.