Reference and citation map for literature review and discovery
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Updated
Jan 1, 2024 - TypeScript
Reference and citation map for literature review and discovery
LitStudy: Using the power of Python to automate scientific literature analysis from the comfort of a Jupyter notebook
Systematic Literature Review (SLR) using AI involves leveraging artificial intelligence techniques to automate and expedite the process of reviewing and synthesizing large volumes of scholarly literature.
Retrieve PubMed articles, text-mining annotations, or molecular data from >35 Entrez databases via easy to use Python package - built on top of Entrez E-utilities API.
The aim of auto-paper is to give you tips, tricks, and tools to accelerate your publication rate and improve publication quality.
Literature Review Made Easy with Visualization
Citation-based literature search
Turbocharge a PubMed literature rather than clicking and clicking and clicking on Google Scholar
Semi-automatic Literature Survey (SaLS)
Automated search across multiple databases and preprint servers to save your time during structured literature search and review.
PaperGPT is an AI powered research assistant to keep track of latest publications given a set of keywords.
Python scripts for searching Pubmed using Biopython and working with eponymous terms
Simple tool created with Microsoft Excel (365) to cluster subtopics in references in a literature survey for a paper, thesis or any other academic work,
The frontend of the DaWeSearch project
Node.js Electron GUI for Scraping the Google Play Store.
The backend of the DaWeSearch project - a tool to conduct structured literature reviews (SLR).
Final year project website to review papers used for research.
This repository is a coursework of Digital Library
this contains a file which was used to filter authors from a pubmed search for a systematic review based on the location of the author (requiring 50% USA led) and that one author from the USA was an academic
"酷学术”智能在线辅助工具是专业的自主学习和学术研究辅助工具,酷学术可以实现智能化的文献检索、即时翻译服务以及高效的引用管理功能适用于多种学习和研究应用场景。
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