Revolutionizing Academic Research with AI: How Scinapse Empowers Researchers with Precise Data and Insights

Most researchers begin the early stages of their research by gathering information and data from various sources, conducting new field research, analysis, or reviewing prior studies in their field to gain rough insights. At this stage, the most important factors are:

1. Can I easily search for the information?
2. Can I find what I need based on specific conditions in a short amount of time?
3. Can I trust the data?

Scinapse, a useful tool for discovering trends in a particular research field or identifying influential authors, was developed to address the challenges and frustrations that researchers have long faced. Whether you’re finding the exact paper, assessing the actual impact of a researcher, finding peer reviewers who uphold research integrity, or conducting a comprehensive search using just a keyword, Scinapse provides tailored search and analysis options based on your research goals.

Scinapse’s research data covers approximately 99% of SCIE journal coverage, with over 290,600 influential scientific experts and more than 38,800 trending research fields.

So how are these datasets generated and processed? Scinapse actively utilizes AI technology to perform comprehensive analyses of academic data.

Through:

• Analyzing relationships and similarities between papers
• Analyzing relationships and similarities between authors
• Identifying research fields and agendas within papers

(and more),

Scinapse enables researchers to quickly gain insights from academic data. This service stands out globally and sets itself apart from competitors that rely solely on analyzing paper text.

Data Collection with its Source & Reliability

First of all, we collect extensive data through open data providers ; Microsoft Academic Graph(for papers published before December 31st, 2021), Pubmed, Pubmed Central, OpenAlex, Semantic Scholar , with also our proprietary web crawling program.

Data Processing

• AI-based Field Analysis
  Artificial intelligence is employed to accurately and consistently assess each paper’s research agenda, resulting in highly relevant search results. This efficient process allows for the quick identification of related papers, with each paper averaging over 15 specific fields.
  
• High Accuracy Author Disambiguation
  Scinapse employs a proprietary algorithm to accurately identify authors, taking into account factors such as the research’s affiliations, the timing of paper publications, and citation relationships.
  
  This system offers superior accuracy compared to other platforms such as Scopus or Web of Science. Furthermore, the algorithm is designed to continuously learn and refine its precision over time.
  
• Identification of Research Trends
  Scinapse offers more than just citation metrics. By analyzing real-time citation relationships within specific fields of interest, our platform enables users to effortlessly identify influential papers and researchers, as well as track evolving trends over time.
  
• Data Integrity Verification
  Scinapse is built with the commitment of maintaining the highest standards of data and integrity. It filters out errors and suspicious data to eliminate noise from research. Its stringent verification processes are designed to continue to enhance the storage and reliability of information, ensuring that data remains accurate and trustworthy.

Continuous Data Source Updates by Experts

Data experts at Scinapse are constantly searching for and incorporating new, up-to-date data sources. They carefully extract relevant information and verify its reliability to ensure that Scinapse delivers valuable, trustworthy data.

Currently, Scinapse processes over 8.4 million data points monthly and generates over 37 million analysis data entries each month.

written by Sarah Little & Geehee Nahm

Never re-search again.

Scinapse is made by researchers for researchers.
Join the next generation of research at ⏯️ https://scinapse.io/

Pluto Labs

Pluto Labs helps researchers focus on their research by improving several inefficiencies in the academic research process. We offer data-driven insights from academic papers, allowing users to easily obtain review-level results for their desired range of papers. 
https://pluto.im/