News from Consenus:
Finding an under-researched area you can start a study in has always been time-consuming. But not anymore.
The new Research Gaps Matrix feature in Consensus turns one question into a coverage map to show you where research is missing.
This makes it much easier to:
- Find a under-researched niche you can start a study in
- Identify gaps in your library of research that you should fill
- Find a cross section of population/method (or anything custom) to run a targeted follow up search
Here’s an example. If you went to a collection in your library and searched: «Show me a research gaps matrix comparing population to study method in this collection so I can see what I am missing»
Consensus will create a table showing you different populations, different study types, and how many papers you have that cover each different area. If there are any missing, you can instantly run a targeted search for them.
See the evidence behind every cell: hover over a cross section to view its papers, open any paper with the supporting passage highlighted, or use the Evidence tab to see the exact quotes that places it in that section.
Investigate a potential gap: when no retrieved papers appear in a cell, click Investigate further with Deep to search that exact intersection.
Map your own library, too: run the same analysis across a collection to spot underrepresented populations, methods, or study designs in the papers you’ve saved.
Try it on a question researchers are asking right now: What are the research gaps in long COVID treatment? Or watch as I walk through the new Research Gaps Matrix in our latest YouTube video.
Try asking Consensus to identify the research gaps within your own topic and explore the retrieved evidence.
and:
Most of the time, the real finding in a paper isn’t a sentence, it’s in the figures.
Now, Consensus can surface charts and tables from cited papers directly in your response, so you can see the evidence without digging through the full text to find it.
Here’s how it works:
• Search as usual: When the AI analysis is strengthened by a figure from an open access paper, Consensus will pull the figure into the response.
• Ask for figures anytime: Add “show figures from the papers” to your question to make them more likely to appear.
• See the original figure: View the chart as the authors published it, with axes, error bars, and sample sizes intact.
• Jump straight to the paper: Click any figure to open the full text and keep asking questions about the study.