September 25 Release Notes: Smart Search Query Transparency and improvements to ORCID integration

Smart Search query transparency feature; All fields logic removal and improved entity recognition; Revised ORCID connection; Name matching check when claiming author records; Auto-selection of author names while verifying authorships

 

Revised ORCID connection

We have improved our integration to ORCID – The new process enables users to grant all necessary scope and permissions during their ORCID authentication at once, replacing the current flow which requires separate authentication.  

Users who are already connected to ORCID will see a prompt to reconnect (if they are signed in) to ensure the existing ORCID account remains properly synced besides, continued to support seamless login.
This prompt includes a direct link to the Account Settings, where user can easily reauthenticate with ORCID and authorize access.





 

 

If the user has not signed in but tries to do so through the ORCID login, then the user will be redirected automatically to ORCID for re-authentication and authorize access accordingly.

 



This is part of ongoing efforts to maintain secure and consistent integration with ORCID.

 

Name matching check while claiming author records

We are introducing an extra layer of validation to help protect the quality and integrity of author profiles. Now, when user clicks ‘Claim My Record’ on an unclaimed author profile, the system will check if the name on the record matches the profile name of the user claiming it:

  • If it’s an exact match, the claim will be allowed automatically.
  • If it’s a partial match, you can proceed by confirming the claim.
  • If there's no match, the system will block the claim — but user can still reach out to the support team through the ‘contact us’ message provided if it had to get claimed after our operations team further validations.

 

 

This feature helps prevent incorrect claims and ensures researcher profiles are accurately represented.

 

Auto-selection of author name on verification pages

To simplify the process of authorship verification for the user, we have enhanced the experience on the verification pages.

When users visit the page to claim or verify their authorship, the system will now:

  • Automatically select the username from the list of authors if it finds a match with the profile name
  • Leave the selection blank if no match is found, allowing users to choose manually
     

User could also click on the button ‘Apply my name to all’ on the page to automatically select the user’s name from each of the dropdown for the documents on the page anytime.



This reduces friction and makes the process quicker, especially when the user is claiming/verifying multiple documents.

 

Smart Search Query Transparency

In this release, users gain greater visibility and control over their search experience. The system now displays the Boolean query used to perform their search, offering full transparency into how results are generated.

Users can also edit the query directly. By clicking the edit icon, they can modify field tags via a dropdown menu that includes helpful flyout descriptions. This allows users to refine their search criteria and rerun the query with updated parameters, empowering more precise and personalized results.

 

 

Improved Search relevance: Removal of OR Logic for “ALL FIELDs”

Previously, searches like Journal of Microbiology were interpreted as:
Journal of Microbiology (Journal Title) OR Journal of Microbiology (All Fields). This OR logic often diluted search results by including less relevant matches from across all fields. With this release, we've removed the automatic inclusion of All Fields in such queries. Searches will now focus more precisely on the intended field (e.g., Journal Title), resulting in cleaner, more relevant results.

 

Improved Entity Recognition

We have significantly improved our entity recognition capabilities to deliver more accurate search results. The system now better identifies and distinguishes between entities such as journal titles, author names, institution, topics and other entities supported. This enhancement ensures that searches are interpreted more intelligently, reducing noise and increasing the relevance of returned results.

 

 

 

 

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