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SciVal: Benchmarking Analysis

Introduction to Benchmarking

In SciVal, you can conduct peer benchmarking analysis at the institutional, school, cluster or research group level or by comparing different sets of publications. Benchmarking analysis in SciVal can provide insights into the:

  • Publication patterns and journal placement of peer groups (overview and analysis of the journals which Queen’s researchers are publishing in compared to peers).
  • Collaborative networks of peer groups (overview and analysis of the geographical spread of co-authorship and top collaborating countries and institutions)
  • Publication and citation performance of peer groups (overview and analysis of a range of indicators including, among others, the no of published outputs, % of outputs published in top journals, % of most cited papers and the no of outputs which have been cited by patents) 

Types of Benchmarking

Institutions are automatically populated in SciVal and can be found by searching within the ‘Add Institutions and Groups’ tab.  

While you can assess the performance of a single institution within the Overview module, detailed analysis can be conducted in the Benchmarking module where it is possible to add a number of institutions and employ a selection of different metrics on the ‘x’ and ‘y’ axis. More granular analysis at institutional level can also be conducted by refining as per subject area. 

 

In the All Science Journal Classification (ASJC) subject codes, there are 27 main subject areas and 307 minor subject area.  Note that when refining by subject area, any metrics relevant to a specific subject category do not reflect the organisation structure at Queen’s and can only be used a proxy for Schools or research groups. For example, a researcher in the School of Psychology may publish an article in a journal with the Scopus subject category, Nursing. This article and subsequent citations are counted for the subject of Nursing (which is not to be confused with the School of Nursing and Midwifery). 

Schools and clusters are not automatically populated in SciVal and need to be created by adding individual researchers to SciVal and bringing them together into one organisational group.

The Research Policy team (Research and Enterprise Directorate) manages a list of current academic staff at Queen’s, including their school affiliations and Scopus IDs which can be made available on request (please contact puresupport@qub.ac.uk or phone ext 1139 or 2851 for more information).  

Schools and clusters from peer institutions need to be manually created in SciVal by adding individual researchers and combining them into one group. For more information on how to do this, see page 7 in the SciVal Quick Reference Guide

In some instances, staff in the Research Policy Office have established arrangements with some Universities to allow groups of researcher Scopus IDs (aligned to Schools or Departments as relevant) to be shared on a mutual basis. If you are interested in benchmarking peer institutions on a School or cluster basis please contact puresupport@qub.ac.uk or phone ext 1139 or 2851. Schools and clusters can be assessed on an individual basis in the Overview module, or compared with a range of research groups in the Benchmarking module using a selection of different metrics on the ‘x’ and ‘y’ axis.

Publication sets are a distinct collection (or subset) of research outputs which have been published by an individual or research group (e.g. outputs considered for the next REF). Publication sets can be uploaded to SciVal if they have a Scopus ID, PubMed ID or DOI (Digital Object Identifier) - for more information on how to upload publication sets, see page 7 in the SciVal Quick Reference Guide. Again publication sets can be assessed on an individual basis in the Overview module, or compared with a range of research groups in the Benchmarking module using a selection of different metrics on the ‘x’ and ‘y’ axis.

 

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