You can choose to sort the experts in your search in a number of different ways. As soon as you have entered one or more keywords, the default sorting order will be Relevance.

1. Relevance

Relevance ranking is the default sorting option for experts in Monocl. It is very powerful as it is based on an advanced computational approach to ensure that you are always looking at experts with great relevance. The actual relevance score is contextual in the sense that it changes every time you update your search query. Since the platform provides a sorted list of experts for each search, and since the relevance score for an expert only has a value in relation to other experts in the search results, we do not show the actual score to the user. 

The relevance score takes several factors into consideration: 

Expert productivity - the number of publications, clinical trials, meeting presentations and grant payments generated by each expert within your specific search. 

Journal impact for each publication made by each expert within your specific search. Monocl utilizes the Scimago Journal Rank (SJR) system for journal ranking. The more research performed in high-impact journals, the greater contribution to the relevance score.

• Search terms frequency - when searching with multiple search terms, experts with research activities including all or several search terms will be ranked higher.

Search terms commonality – Unusual search terms and topics, i.e. search terms not being presented often in scientific literature (e.g. the target “foxp3”), trials or grant payments, contribute more to the relevance ranking compared to commonly used search terms (e.g. the disease “asthma”). This greatly increases the specificity when searching using multiple search terms. 

Note that you may now also decide for which time period that the relevance ranking should apply. This is very useful if you are e.g. only looking for individuals with highly relevant recent research. 

For the relevance-sorting, you can choose which time period you want the sorting to be based on. The default time period is last 10 years, but you can also choose last 2 years, last 5 years or any time.

2.  When 

“When” is a new sorting option created to provide more granularity to the relevance sorting. The following options are available:

  • Last 2 years
  • Last 5 years
  • Last 10 years (default)
  • Any time

For any given search, users may now select if they want the relevance scoring to apply to all research content generated by the expert (“Any time” option) or only to a specific time period (2-10 years). This is a very effective way to identify the most relevant researchers within any field of interest for a specific time period. By e.g. using “last 2 years”, only research activities performed during the past two years contributes to the relevance scoring. This clearly favours individuals with recent relevant research over individuals having performed older impactful research.

3. Publication Productivity

Sorting by productivity enables you to sort experts based on the total number of publications they have done within your search. The experts at the top of your list are the ones with most publications in your area of interest.

4. Clinical Trial Productivity

For any search you perform, you may sort experts by the number of trials they have performed within your specific search.

5. Total Grant Funding Received 

Total grant funding sorts the experts in your search based on how much overall grant funding they have received from any of our grant sources.

6. Total Industry Payments Received

Total industry payments received sorts experts based on the total amount of received industry payments according to the CMS Open Payments System (introduced in 2013).

7. Most recent overall activity

Most recent overall activity brings to the top of the list the experts in your search that most recently published a scientific article, participated in a clinical trial and/or received grant funding.

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