Using Linknovate to Discover and Dig Deep in a Topic


Market Research, and Technology Surveillance are tedious and time-consuming tasks. Linknovate’s discovery engine helps you find the information you are seeking precisely in fields where you do not necessarily know what to expect, what is new or what are important trends.

We search the movies in our own city and we know what to expect. We look for the latest trends in Artificial Intelligence applied to healthcare... and well, we may have an idea, but data tends to surprise us. This what we call a discovery experience (versus search).

<<Discovery, as an opposed experience to search>>

To illustrate it, let’s use a real example of a topic that many pharma, biomed and biotech professionals would care about: Alzheimer’s Disease.

As easy as that. Hit enter...

We directly see a list of relevant entities working on the topic. On the left: the filters and on the right, a set of topics (bubble's map) to guide you and suggest you new keywords and areas related to your search.

The topics at the right are generated on the fly and they have changed accordingly to the new 'data set' of relevant organisations and their references.

By clicking in any of the clusters, such as Related Proteins, we continue to narrow down our topic of interest (it is like adding a new filter our query).

Now we are looking only at those organisations working on Related Proteins for Alzheimer’s Disease.

The filters on both sides of the page help the discovery process. But if you already know some topics you want to take into account in your search, you can manually type them in the boxes at the top. Each box works as an AND filter. If you type keywords in the same box (separated by commas) it works as an OR search. How it works.

For our case, we don’t want to include Alzheimer's Related Proteins associated to stem cells, so we use a NOT filter, writing a slash (–) before the keywords.

Out of an initial result of more than 80,000 documents and 20,000 entities we have narrowed down our search to only 61 entities that have published 71 documents altogether.

In less than 5 minutes we have managed to take aside the non-relevant information and get to the innovations that we are meaningful for our research.

But there's more. By clicking in Data Analytics, we enter the graphs for our 'distilled' data set of 61 entities and 71 references (graphs are generated on-the-fly).

By clicking in any of the entities we enter the Company's Profile, where we can see their activity on the topic and collaborations/partnerships with other organisations.

Are there any topics you are interested in? Discover new trends and relevant companies in seconds. We do the hard work for you.

Try our discovery engine by yourself.