Who works on your topic, and where?

LabScout reads the key papers on a topic from PubMed and Europe PMC, finds the lab behind each one, puts the labs on a map and says why each came up.

Sources
Papers to read

Starting the search. The next page shows each step; most topics take under a minute, a very broad one with thousands of papers two or three.

LabScout reads up to 10,000 papers from each source: PubMed's best matches and the most cited on Europe PMC, or the newest. The last five years show the labs that are active now; clear the year to search all years.

Try: actigraphy sleep regularity circadian rhythm shift work chronotype adolescents "social jetlag" wearable step count mortality (actigraphy OR accelerometry) AND depression

How it works

  1. 1. Type a topicA few key words, or a PubMed search with quotes, OR and NOT.
  2. 2. LabScout reads the papersThe 10,000 best matches on PubMed and the 10,000 most cited on Europe PMC, in the years you choose.
  3. 3. It finds the lab behind each paperThe last author usually leads the lab. Their affiliation is matched to an organisation in the Research Organization Registry.
  4. 4. You see who works on it, and whereA map, a table with the reason each lab came up and its papers, and Excel, CSV or JSON.

Search tips

To findType
Papers on a topicactigraphy sleep regularity
An exact phrase"sleep regularity index"
Either of two wordsactigraphy OR accelerometry
Without a wordcircadian NOT mice
A word in the title or abstract onlychronotype[tiab] adolescents
Groups put together(actigraphy OR accelerometry) AND depression

Too many papers? Add a word, use quotes or narrow the years. Too few? Use fewer words or OR. The report says which, and shows how PubMed read your search.

Reading the results

Use it from your AI assistant

LabScout is also an MCP server with tools for labs, papers, researcher profiles, grants, trials and patents. Add this address as a custom connector in an assistant that supports MCP:

https://actogram-labscout.hf.space/mcp

Then ask in plain words, for example:

Run it yourself

The code is on GitHub. It installs with pip install "labscout @ git+https://github.com/actogram/scholar-mcp" and then runs as labscout labs "your topic" --html labs.html.