SciSpace New Features | Faster Research, Better Results & writing
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Unified ranking sources merges results from SI space’s 240M+ database, SI space open-access full text, and Google Scholar into one combined, reranked list with relevance scores and ranking reasons.
Briefing
A new SI space update aims to cut the time spent hunting across multiple literature databases by merging and reranking results into a single, relevance-scored list. Instead of running separate searches across sources like Google Scholar, PubMed, and arXiv and then comparing outputs manually, users can now enter a query (example given: “green HRM”) and get top relevant papers drawn from SI space’s own database (240M+ records), SI space full text for open-access articles, and Google Scholar. The system then combines overlapping findings and reranks them, showing a relevance score plus an explanation for why each paper lands at its position—down to a list of 78 articles in the example—so researchers can move faster without losing confidence in why results are prioritized.
The update set also targets paywalled access, data extraction speed, document ingestion, and citation workflows. With key library integration, SI space can connect a user’s account to a university digital library. When an article isn’t open access, the interface offers a “download from library access” path that retrieves the PDF directly through institutional access, avoiding the slower “request from authors” route. Faster data extraction changes how background tasks run: an agent can keep working while users continue refining their literature review—adding or removing columns, applying filters, and analyzing papers—plus users can pause or resume progress without losing work.
For writing and synthesis, a Compose integration feature lets users upload PDFs not only from their computer but also from cloud storage, with Google Drive supported. Users can select multiple PDFs (up to 10 at a time), upload them, and then prompt Compose to summarize the documents—while also allowing other prompts. Finally, citation tools get two upgrades. First, citations can be generated directly from the citation popup (or from the paper table) with selectable citation styles, enabling quick copy-and-paste into documents. Second, for uploaded PDFs, SI space can surface citation snippets and “locate in PDF,” jumping to the exact section where the cited text was extracted.
Taken together, the changes focus on fewer manual steps: one consolidated search list, smoother access to paywalled PDFs via institutional libraries, faster iteration during extraction, easier document import from cloud drives, and tighter citation traceability back to the source text. The practical payoff is a workflow that supports quicker literature reviews and more reliable writing, with the option to try the updates via the provided link and accompanying Black Friday coupons.
Cornell Notes
SI space adds a unified search workflow that combines results from SI space’s own database (240M+ articles), SI space open-access full text, and Google Scholar, then reranks papers with relevance scores and ranking reasons. Instead of comparing outputs across multiple databases manually, researchers can get a single prioritized list from one query.
The update also improves access and productivity: key library integration pulls paywalled PDFs through university digital library credentials inside the SI space interface. Faster data extraction lets agents continue running in the background while users adjust columns, filters, and analysis, with pause/resume support.
For writing, Compose integration supports uploading PDFs from Google Drive (up to 10 at once) and prompting for tasks like summarization. Citation tools are upgraded with one-click style selection and “locate in PDF” to jump to the exact cited passage in uploaded documents.
How does unified ranking sources reduce the work of doing literature searches across multiple databases?
What does key library integration change for paywalled articles?
What is meant by faster data extraction, and how does it affect ongoing analysis?
How does Compose integration handle document uploads, and what workflow does it enable?
What are the two citation upgrades, and how do they help with writing accuracy?
Review Questions
- When searching for a topic like “green HRM,” which sources does SI space combine for unified ranking, and which ones are excluded in the example?
- How does key library integration change the options available for paywalled articles inside SI space?
- What capabilities are available during faster data extraction, and how do pause/resume controls affect the workflow?
Key Points
- 1
Unified ranking sources merges results from SI space’s 240M+ database, SI space open-access full text, and Google Scholar into one combined, reranked list with relevance scores and ranking reasons.
- 2
PubMed and arXiv are not included for the social-sciences example query, reflecting source coverage by field.
- 3
Key library integration enables direct PDF downloads for paywalled articles through university digital library access without leaving SI space.
- 4
Faster data extraction runs agents in the background so users can keep refining columns, filters, and analysis, with pause/resume support.
- 5
Compose integration supports cloud-based PDF ingestion via Google Drive (up to 10 PDFs at a time) and prompt-based tasks like summarization.
- 6
Citation workflows improve with one-click citation generation in selectable styles and “locate in PDF” to jump to the exact cited passage in uploaded documents.