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Tools/Semantic Scholar vs SciSpace
Semantic Scholar

Semantic Scholar

ai-research
vs
SciSpace

SciSpace

ai-research

Semantic Scholar vs SciSpace — Comparison

Overview
What each tool does and who it's for

Semantic Scholar

Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant resear

Helping Scholars Discover New Insights Semantic Scholar provides free, AI-driven search and discovery tools, and open resources for the global research community. We index over 200 million academic papers sourced from publisher partnerships, data providers, and web crawls. We are a Research and Product Development team within Ai2 building a better way to search and discover scientific knowledge. With Semantic Scholar, researchers can understand a paper at a glance. Our system extracts meaning and identifies connections from within papers, then surfaces these insights to help Scholars discover and understand research. Our Values reflect who we are, why we are building Semantic Scholar, and guide us through hard decisions. We are motivated to use AI in novel ways for a dramatic impact. Tackling our problems with AI not only helps our community, it also improves the quality of our AI research by grounding it in real-world application. Scientific knowledge should be available to everyone. We recognize that the status quo disproportionately benefits certain groups of scholars over others. As a non-profit, we evaluate the impact of our choices and pursue directions that help balance the scales. Collaboration makes us stronger. We make a conscious effort to collaborate with our teammates, and by doing so, we will both improve the quality of our work and distribute the burden of support. We are small, but mighty. We stand behind our convictions when we believe they are the right direction, even if that is a more difficult path. We question what has been done historically, never satisfied with the status quo. We aim to gain knowledge sooner by starting conversations early and by prototyping our ideas quickly. When we realize a path we have chosen is not working, we are willing to recognize it openly and do the work to learn from it. We aim to establish a higher standard for applying AI in a trustworthy and transparent way. By educating and building trust in our AI-driven solutions, we will foster a community who are invested in our success and patient with our mistakes. We provide a free, reliable source of scholarly data for developers to build projects that accelerate scientific progress. Reach millions of scholars by integrating your academic content into Semantic Scholar's knowledge graph Join our Beta Program to provide feedback and help scholars around the globe Download logos, illustrations, and brand guidelines

SciSpace

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Key Metrics
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Avg Rating
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0
Mentions (30d)
0
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GitHub Stars
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GitHub Forks
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npm Downloads/wk
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PyPI Downloads/mo
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Community Sentiment
How developers feel about each tool based on mentions and reviews

Semantic Scholar

0% positive100% neutral0% negative

SciSpace

0% positive100% neutral0% negative
Pricing

Semantic Scholar

tiered

SciSpace

tiered
Features

Only in Semantic Scholar (10)

Scan Papers Faster with TLDRsCheck Highly Influential CitationsTips to Get Better RecommendationsPaper AlertsAuthor AlertsResearch Feed AlertsSemantic ReaderSemantic Scholar Academic Graph APISemantic Scholar Open Research Corpus (S2ORC)Experience a smarter way to search and discover scholarly research.
Product Screenshots

Semantic Scholar

Semantic Scholar screenshot 1

SciSpace

No screenshots

Company Intel
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Industry
information technology & services
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Employees
44
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Funding
$0.8M
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Stage
Seed
Supported Languages & Categories

Semantic Scholar

AI/MLDeveloper Tools

SciSpace

View Semantic Scholar Profile View SciSpace Profile