Finding the Exact Research Paper With Ease Using Academic Analytics

Academic analytics in the form of identifying research trends, starting a literature review or new paper search plays a vital role before starting your research. While finding a proper keyword is crucial, landing on the right research paper can be an arduous process in itself. Let's explore the power of AI in using these academic analytics and finding the most appropriate papers for your systematic literature review.

Using Academic Analytics to Find a Relevant & Impactful Research Paper

Scinapse is an advanced tool designed for efficient academic research. This unique algorithm utilizes factors such as authors, journals, date, citation count, and more to help you find the papers that align with your interests.

Effortlessly navigate the vast world of scholarly papers. Go beyond simple keyword searches and refine your results with premium filters such as article type and journal impact factor.

How it differs from other scholarly search engines

• Scinapse is focused on providing research that has been gaining attention & citations recently.
• The unique searching and listing algorithm places greater emphasis on the quality of papers, elevating top-tier research for easy access.
• It offers detailed information to help you evaluate the quality of papers.
• With premium features, you can filter papers in various ways to pinpoint high-quality research that meets your specific criteria.

The Paper Search Filter Includes:

• Keywords: Filtering of papers that have the selected keywords in the title and abstract of the paper. (For multiple keyword searches, type separated by a space. e.g.) “neuron” “cell” (AND command)
• Published year: Filtering based on the publication year of the paper.
• Journal or Conference: Filters only the papers that have been published in the corresponding journals.
• Research Field: Narrow down papers specifically to a particular research field.

Advanced Academic Analytics Using Scinapse's Pro Version for Paper Search :

• Article type: Filtering is done based on the type of the paper. The types include original, review & other. Original - papers that involve actual research being conducted. Review - papers that evaluate research studies, categorized as review papers. Other - This category encompasses papers such as posters, books & letters; not actual research or review papers.
• SCIE Indexed: Filter papers that are part of SCIE (Science Citation Index Expanded), as designated by Clarivate Analytics.
• Affiliation: Filtering is based on the last known affiliation of the lead author/s of the paper.
• Country: Filtering is based on the country of the last known affiliation of the lead author of the paper.
• Journal Impact Factor: Filtering of listed papers within a journal, based on the journal’s impact factor.
• Citation count: Filtering based on the citation count of the paper.

What sets Scinapse apart from traditional search engines is its commitment to quality. Scinapse ensures that users stay ahead by providing easy access to top-notch research, prioritizing research and papers currently cited, and receiving attention in real time. Additionally, it offers more in-depth and detailed information on each paper, aiding the evaluation process.

Scinapse Paper Search is not just another academic search engine. It is a gateway to the future of research with an academic analytics. By providing an unparalleled level of precision and efficiency, Scinapse empowers users navigate the vast sea of academic papers, allowing them to quickly and easily find the most important research.

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/