A new edition of Citation Classics is live!
Culturing the Human Microbiota and Culturomics demonstrated the power of culturomics to identify human bacteria, with the researchers describing more than a third of the bacterial species isolated from humans.
https://t.co/gASrcL7jJg
Scite MCP now goes past finding papers. Your AI assistant can show how a paper has been cited, read the full text of open-access papers, format citations, and log which sources were included or excluded for systematic reviews.
Your ChatGPT doesn't know what your Claude found.
Scite collections now have notes that any connected AI tool can read and write. One agent summarizes your papers, the next one picks up from that note, and you can read the whole trail.
Scite is now available in Microsoft Copilot.
Verify claims and check the literature as you work. Microsoft’s new plugin registry is rolling out across supported Copilot experiences in Word, PowerPoint, Excel, and more.
A few months ago we launched the Scite MCP. Since then it's been used almost 20 million times and read nearly 9 million papers. Now we're opening up the data.
AI reads over time, the top 100 publishers ranked, and where the reads come from, all here: https://t.co/ggYahnGRne
Our new citation_graph tool in Scite MCP lets AI agents follow a paper’s references backward and citations forward to trace methods, explore criticism, and see how findings developed.
Keeping up with the research you care about just got easier.
The new Research Feed brings updates from the researchers, topics, & papers you follow, together with activity from your saved Collections, so you can keep up with what matters from one place.
A new edition of Citation Classics is live: How Technology Is Changing Work & Organizations.
Two researchers spotted remote work, automation, & digital monitoring a decade before COVID made it unavoidable.
https://t.co/u2NGQFUD2N
@sarptas It was not downgraded. You have not lost any functionality or use from when you subscrubed. We have introduced new functionality and added that to our premium tiers.
New edition of Citation Classics is live: Human Kidney Tubuloids: Reflections & Lessons Learned.
Learn how a casual lab tip and an unplanned detour reshaped kidney disease modeling.
https://t.co/7d6ewEuvQX
If you're a publisher and want to know how your content is being surfaced in AI, which OA articles are being read most, and which paywalled articles are in demand but being blocked, let us know.
We now have over 13M AI reads through our MCP.
https://t.co/OEVGBDaYzk
ChatGPT and Claude are generating millions of requests for scholarly content. On the @scite MCP there are already over 10M "AI reads" so far.
Nearly half of those requests are denied because the content sits behind a paywall.
Want to level up your AI skills this summer? Join our AI for Research Training Series and learn how to use tools like ChatGPT, Claude, Claude Cowork, and Codex for real research workflows.
https://t.co/X7jPonTre1
Our AI for Research Training series kicks off next week, and you can earn a certificate for every session you attend. Pick the session most relevant to your work, or collect them all.
Don't forget to tag us when you share, we'd love to celebrate your achievement with you!
Claude. ChatGPT. Codex. Claude Cowork.
4 of the most widely used AI tools, 1 series to help you figure out which one actually belongs in your research workflow.
Join the session for the tool you already rely on, or attend all to see how they compare. https://t.co/XREh6HSvCT
Claude. ChatGPT. Codex. Claude Cowork.
4 of the most widely used AI tools, 1 series to help you figure out which one actually belongs in your research workflow.
Join the session for the tool you already rely on, or attend all to see how they compare. https://t.co/XREh6HSvCT
@RobertLKruse Most won't. Some will (look at the contrasting citation on the linked report, it's from Amgen). Still, your point stands. Many are hidden. Just highlighting that there is value in citations that we surface so we're not left at nothing.
One of the biggest challenges I see for Claude and AI in biotech drug development is that LLMs are based on published data, patents, etc. But when industry (and my company) try to replicate published work, the failure rate is at least 50-65%. How does the AI know what to trust?
@RobertLKruse And we have an MCP. It's not perfect but it does help by showing how and why studies have been cited. We wrote about this back in 2021 https://t.co/vQVOJMicZs