By the team behind PICO Portal

Search 470 million scientific articles. Every claim has a source.

Ask the scientific literature. Get answers with receipts.

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470M+
Articles indexed
480K
Researcher profiles
260K
Journals indexed
100%
Answers with citations

These figures are the index. Page counts are in the atlas below.

See a cited answer, start to finish

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ANSWERS YOU CAN CHECK

Not a summary — an argument with sources

Every answer is assembled from ranked records, not scraped web pages. Click any citation to open the paper, its authors, and the institutions behind it — all inside the Data Atlas.

See how it works
Does cold plunging speed up muscle recovery?
ScholarIQ answered from 214 RCTs

Mostly yes for perceived recovery: cold-water immersion reliably reduces next-day soreness, while effects on objective performance are mixed. Post-strength-training immersion may blunt adaptation.

Tipton et al. · Exp Physiol 2017Bleakley et al. · Cochrane 2012 + 12 more
THE SAME WORKFLOW

When someone questions an exclusion, can you show who decided, and on what passage?

Yes. The record has the named reviewer, the time, the rationale, and the source passage. ScholarIQ uses the same screening technology as PICO Portal. You make the call.

You see every decision

Queue, conflicts, pace, and agreement stay open while the stage is still open.

AI and you share one record

The rank, the passage, and the decision sit on the same record.

You keep the judgment

ScholarIQ does not make the include or exclude call.

Example screening workspace: includes and excludes over 13 days, progress by reviewer, and a decision with the source passage.
Illustrated live view with example data. Same screening workspace. The chrome says PICO Portal because that is the platform.
ScholarIQ does
  • Search OpenAlex from a question, a citation, or a source document.
  • Snowball from a seed paper to the papers that cite it, and to the papers it cites.
  • Upload your records and review them next to the OpenAlex results.
  • Rank records against your criteria. Highlight the passage. Suggest a value, each one linked to its source.
  • Keep the decision record: named reviewer, time, rationale, source passage.
You keep
  • The question, the criteria, and the outcome list.
  • Include or exclude, with a rationale.
  • The risk-of-bias judgment, on the instrument you name.
  • What you write from the evidence.
ONE WORKFLOW, ON THE SAME RECORDS
YOUR CRITERIA
Protocol · eligibility criteria · outcomes · sign-off
Screen
Full text
Risk of bias
Extract
AI proposes
Ranks every record against your criteria
Highlights the relevant passages
Suggests a judgment, linked to the passage
Suggests a value, each one linked to its source
You decide
Include or exclude, with a rationale
Eligibility decision against the protocol
Final judgment per domain, on your instrument
You verify each value, for your outcomes
QUALITY CONTROL AT EVERY STAGE Dual review where the protocol requires it. Conflicts surface in the queue. Adjudication.
THE DECISION RECORD
Named reviewer. Timestamp. Rationale. Source passage. Open to your team.
EXAMPLE · ONE REVIEW ON THIS PLATFORM

Digital health evidence. 4,538 records. 1,330 screened. 193 studies included.

A review of digital decision-support tools in low- and middle-income countries ran in the team's workspace. Two reviewers screened the first 10 percent to calibrate. Ranking then ordered the rest. Screening stopped at an estimated 95 percent recall. The 3,208 lowest-ranked records were not screened. They were not exclusions.

IDENTIFIED
Records identified, PubMed
n = 4,538
Duplicates removed
n = 0
SCREENING
Records screened
n = 1,330
Not screened
below the 95 percent recall stop · n = 3,208
Records excluded · n = 952 · under dual review 857
FULL TEXT
Full texts assessed
n = 378
Full texts excluded · n = 185
Population30Intervention22Comparison9Study type75Outcome128
A record can have more than one reason.
INCLUDED
Studies included
n = 193

PRISMA 2020 flow from the project record.

In an independent evaluation by Johns Hopkins researchers, this prioritization stopped title and abstract screening at an estimated 95 percent recall. It still found studies eligible at full text, with a sensitivity of 0.98 (95% CI 0.90 to 1.00).1

The KDIGO 2024 chronic kidney disease guideline screened its citations on this platform. It used the same prioritization and the same 95 percent recall stop.2

ScholarIQ sits on that platform. 11,182 verified users. 2,078 institutions. 116 countries.

1. Wilson LM, Robinson KA. Global Evidence Summit, Prague, 2024. Independent. Co-author Karen Robinson has a non-financial affiliation with PICO Portal. 2. KDIGO CKD Work Group. Kidney International. 2024;105(4S):S117–S314. doi:10.1016/j.kint.2023.10.018. Methods, Literature searches and article selection.

Browse the Data Atlas
Every entity in the index has its own page — start from any pillar.

Questions

What is ScholarIQ?

ScholarIQ searches 470 million articles from OpenAlex, ORCID and PubMed. It answers in plain language. Every claim cites a source you can open.

How is ScholarIQ different from PubMed?

PubMed is a database. You search it with terms. ScholarIQ takes a question, ranks records, and returns an answer with citations. You can open each citation in the Data Atlas.

Does every answer include a source?

Yes. An answer is built from ranked records. Each claim links to the paper it came from.

Who makes the eligibility decisions?

You do. ScholarIQ ranks records and highlights passages. The record shows who decided, and why.

Where does the data sit?

In your workspace on the PICO Portal platform. Only the people you assign can open it. Your content is not used to train a model.

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