SciVal Strata launches institutional benchmarking and more
Measure your teams and researchers against other institutions
Previously in SciVal Strata, you could benchmark your teams and researchers against a Reference Field split over countries, regions or the world. Now you can also benchmark against any institution’s output relative to your Reference Field in the Citation Benchmark analysis.
Import pre-populated groups of researchers with ease
As an additional service, you can choose to have pre-populated groups of researchers – called Ready-made Clusters (RMCs) – added to your institution’s SciVal Strata implementation. These quality-assured clusters, which provide your users with a common starting point, have been improved for ease of use. The importing process has been simplified and new icons make it clear if the cluster you have imported can be modified or not.
Analyze a set of a researcher’s documents
Evaluating researchers for tenure in the United States, submitting papers for the Research Excellence Framework (REF) in the United Kingdom and applying for funding all require evaluation of a selected number of a researcher’s publications and not their complete output. New functionality in SciVal Strata now allows you to analyze teams or researchers with as many or as few of their documents as you require.
Measure research performance against the m-index
On top of the h-index and g-index, you can now evaluate your teams and researchers against the m-index (defined as the h-index/n (n= number of years since the researchers first publication)).
Assess how many citations an article needs to reach top global percentile levels
You can now download an Excel spreadsheet containing percentile details for specific Scopus® subject and sub-subject areas. Identified through customer feedback as a key analysis for understanding the benchmark of individual documents, this report details the actual citation threshold needed for a document to reach global percentile levels in each Scopus subject category.
In the screenshot below you’ll see for example that for an Accounting article written in 2008, the article needs at least 58 citations to be in the top 1 percentile of all 2011 Accounting articles captured in Scopus, and that 24 articles have achieved this.
Easily identify which researchers belong to which clusters
Finding out which researchers belong to which clusters has just become a lot easier. Simply select one or more clusters and SciVal Strata instantly highlights the researchers that belong to them.
Increase your productivity
We have implemented a number of performance improvements into the product so that you spend less time waiting and more time analyzing.
- You can now switch between tabs, create clusters and perform other tasks while an analysis is being loaded.
- The speed of calculating all of the analyses has also improved
Learn how to use the new features and functionality in SciVal Strata
The SciVal Strata user guide now covers the latest release. Find it on the Help tab in SciVal Strata.