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This repository have the codes used for the bibliometric search, some of the information like API key and other kept hidden, but basic code architecture and structure is given for reproducibility

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Soil Health Cycle Paper - Bibliometric Analysis

About This Repository

This repository contains the R scripts and code used for the bibliometric analysis in the "Soil Health Cycle Paper". The purpose of this repository is to share the methodology and code structure to support reproducibility and transparency in scientific research.

Disclaimer

Some sensitive information, such as API keys and other confidential details, has been omitted from this public repository for security reasons. The core architecture and structure of the code, however, are intact and can be used as a framework for similar bibliometric research.

Repository Structure

  • codes.R: Main R script containing the code for data retrieval from Scopus, data manipulation, and analysis.
  • data/: (If applicable) This directory contains the datasets used or generated by the scripts, except for those containing sensitive information.
  • figures/: (If applicable) This directory contains any figures or plots generated by the analysis scripts.

How to Use

To replicate the analysis or adapt it to your own research, follow these steps:

  1. Clone or download this repository to your local machine.
  2. Replace the placeholder API key in the script with your own credentials.
  3. Ensure you have R and the necessary packages (rscopus, tidyverse, tm, hrbrthemes, tidytext, etc.) installed.
  4. Run the codes.R file in your R environment.

Dependencies

  • R
  • rscopus
  • tidyverse
  • tm
  • hrbrthemes
  • tidytext

Contributing

We welcome contributions to improve the scripts or extend the analysis. Please feel free to fork the repository, make your changes, and submit a pull request.

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This repository have the codes used for the bibliometric search, some of the information like API key and other kept hidden, but basic code architecture and structure is given for reproducibility

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