r software package rstudio 4.3.1 Search Results


bibliometric package r-studio 4.1.3  (RStudio)
90
RStudio bibliometric package r-studio 4.1.3
Bibliometric Package R Studio 4.1.3, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/r+software+package+rstudio+4%2E3%2E1/pmc11730226-171-17-17?v=RStudio
Average 90 stars, based on 1 article reviews
bibliometric package r-studio 4.1.3 - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier
4.3.1 software's bibliometric package  (RStudio)
90
RStudio 4.3.1 software's bibliometric package
Flowchart of data collection and study design. This figure outlines the step-by-step process used in our study to collect and analyze data on MI-related lncRNAs. The process begins with a comprehensive search of relevant database Web of Science, using specific keywords. Articles were then screened based on predefined inclusion and exclusion criteria. Eligible studies were subjected to data extraction and quality assessment. The extracted data were analyzed using <t>bibliometric</t> methods to identify trends, key research areas, and influential publications in the field of MI-related lncRNAs. Additionally, the figure includes notes on the criteria used for study selection and the statistical methods applied for data analysis.
4.3.1 Software's Bibliometric Package, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/r+software+package+rstudio+4%2E3%2E1/pmc11317247-82-3-0?v=RStudio
Average 90 stars, based on 1 article reviews
4.3.1 software's bibliometric package - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier
r 4.3.1 software package mgcv  (RStudio)
90
RStudio r 4.3.1 software package mgcv
Flowchart of data collection and study design. This figure outlines the step-by-step process used in our study to collect and analyze data on MI-related lncRNAs. The process begins with a comprehensive search of relevant database Web of Science, using specific keywords. Articles were then screened based on predefined inclusion and exclusion criteria. Eligible studies were subjected to data extraction and quality assessment. The extracted data were analyzed using <t>bibliometric</t> methods to identify trends, key research areas, and influential publications in the field of MI-related lncRNAs. Additionally, the figure includes notes on the criteria used for study selection and the statistical methods applied for data analysis.
R 4.3.1 Software Package Mgcv, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/r+software+package+rstudio+4%2E3%2E1/pm39700941-75-45-49?v=RStudio
Average 90 stars, based on 1 article reviews
r 4.3.1 software package mgcv - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier

Image Search Results


Flowchart of data collection and study design. This figure outlines the step-by-step process used in our study to collect and analyze data on MI-related lncRNAs. The process begins with a comprehensive search of relevant database Web of Science, using specific keywords. Articles were then screened based on predefined inclusion and exclusion criteria. Eligible studies were subjected to data extraction and quality assessment. The extracted data were analyzed using bibliometric methods to identify trends, key research areas, and influential publications in the field of MI-related lncRNAs. Additionally, the figure includes notes on the criteria used for study selection and the statistical methods applied for data analysis.

Journal: Frontiers in Molecular Biosciences

Article Title: Progress and trends in myocardial infarction-related long non-coding RNAs: a bibliometric analysis

doi: 10.3389/fmolb.2024.1382772

Figure Lengend Snippet: Flowchart of data collection and study design. This figure outlines the step-by-step process used in our study to collect and analyze data on MI-related lncRNAs. The process begins with a comprehensive search of relevant database Web of Science, using specific keywords. Articles were then screened based on predefined inclusion and exclusion criteria. Eligible studies were subjected to data extraction and quality assessment. The extracted data were analyzed using bibliometric methods to identify trends, key research areas, and influential publications in the field of MI-related lncRNAs. Additionally, the figure includes notes on the criteria used for study selection and the statistical methods applied for data analysis.

Article Snippet: R-Studio 4.3.1 software’s bibliometric package and the online bibliometric analysis platform ( http://bibliometre.com/ ) ( ) were used to map collaboration networks among research entities across the world.

Techniques: Extraction, Selection