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September 2, 2022
By Ada
artificial intelligenceliterature reviewresearch toolsresearcher workspace

Announcement: New features in the Researcher Workspace 0.5

We are super happy to announce our latest product launch: The Researcher Workspace 0.5! Besides the usual bug fixes, it includes some exciting new features:

👉 Adding content via Collection input

👉 Push Notification System (PNS)

👉 Bookmarking documents

👉 Document sorting by context filter relevance

👉 Removing documents from datasets

We hope you enjoy the new updates! ✌️

Do you want to try them out? Request a demo! (Currently only available for businesses)

Adding content via Collection input.png

Now you can upload your document collection to the Researcher Workspace. Whether you collected your documents in a spreadsheet with links (.csv), your reference manager (.bib or .xml).

Push Notification System (PNS)


image (29).png

When you are running the tools some things take time – and we understand that! That’s why another new feature is notifications! If you’re generating a map, creating a new summary, running the analyze tool or extracting data, these processes will be running in the background. So you can carry on with the work and we’ll notify you when it’s done.

Bookmarking documents

Ability to bookmark documents.png

Let’s say you created multiple datasets and there are some articles that you want to get deeper into, read through it but you don’t have time now or you read them and you always want to have them at hand. Now you can bookmark them! Bookmarked articles have their own separate place which you can access through the menu bar on the left hand side.

Document sorting by context filter relevance

Document sorting by context filter relevance.png

In the newest version of the Researcher Workspace you can sort the articles from your dataset not only by the published date, but also by title or by relevance of your applied context filters. The latter feature expands on the very cool context filters that are accessible in the Filter tool. Once you have created and applied a context filter, you receive information about each paper in the dataset and their corresponding relevance compared to it. The higher the percentage, the more similar the papers will be to the context filter. Now, you can use this information to a higher extent by sorting the article list to bring out the articles with highest relevance to you. You can use a few at the same time by marking which one is a priority. For example, if you have two context filters applied and you have selected sorting by both context filters, the system needs to know which one is a priority in front of the other. It is most prominent when papers have results higher on one of the filters and lower on the other.

Removing documents from datasets

Removing documents from datasets.png

Sometimes the filters are just not enough and you want to have more options in editing your perfect reading list. That’s why we have added the “Delete” option to the documents so if the article you’re looking for is just not it, you can simply delete it from the list with one click.

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Interested in a demo? Contact us!

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